Publications (Nasser Kehtarnavaz) - citations

Books:

Image Fusion in Remote Sensing: Conventional and Deep Learning Approaches,

Morgan and Claypool Publishers (Springer), 2021.


Anywhere-Anytime Signals and Systems Laboratory: From MATLAB to Smartphones, Third Edition

Morgan and Claypool Publishers (Springer), 2020.


Smartphone-Based Real-Time Digital Signal Processing, Third Edition

Morgan and Claypool Publishers (Springer), 2020.

 

Digital Signal Processing Laboratory: LabVIEW-Based FPGA Implementation,

Universal Publishers, 2010.

 

An Interactive Approach to Signals and Systems Laboratory,

CNX/openstax, 2009.

 

Digital Signal Processing System Design: LabVIEW-Based Hybrid Programming,

Elsevier/Academic Press, 2008.

 

Real-Time Image and Video Processing: From Research to Reality,

Morgan and Claypool Publishers (Springer), 2006.

 

Digital Signal Processing System-Level Design Using LabVIEW,

Elsevier/Newnes, 2005 (Korean translation edition 2009).

 

Real-Time Digital Signal Processing Based on the TMS320C6000,

Elsevier/Newnes, 2004.

 Journal Papers/Conference Papers/Patents/Book Chapters/Manuals/Editorials

[435] L. Alam and N. Kehtarnavaz,     
Comparison of deep generative models for real-time generation of synthesized defective wafer maps,
to appear in Proceedings of SPIE Conference on Real-Time Image Processing and Deep Learning, National Harbor, April 2024.

[434] N. Tasnim, A. Ni, E. Lobarinas and N. Kehtarnavaz,     
A review of machine learning approaches for the personalization of amplification in hearing aids,
Sensors, vol. 24, paper no. 1546, Feb 2024.

[433] L. Alam and N. Kehtarnavaz,     
Improving recognition of defective epoxy images in integrated circuit manufacturing by data augmentation,
Sensors, vol. 24, paper no. 738, Jan 2024.

[432] (Editorial) N. Kehtarnavaz,      
Journal of Real-Time Image Processing, vol. 20, no. 5,  July 2023.

[431] L. Alam and N. Kehtarnavaz,     
Generating defective epoxy drop images for die attachment in integrated circuit manufacturing via enhanced loss function CycleGAN,
Sensors, vol. 23, paper no. 4864, May 2023.

[430] C. Zheng, W. Wu, C. Chen, T. Yang, S. Zhu, J. Shen, N. Kehtarnavaz and M. Shah,     
Deep learning-based human pose estimation: A survey,
ACM Computing Survey, vol. 56, pp. 1-37, August
2023

[429] A. Ni, E. Lobarinas, and N. Kehtarnavaz,     
Personalization of hearing aid DSLv5 prescription amplification in the field via a real-time smartphone app,
Proceedings of 24th International Conference on Digital Signal Processing, Greece, June 2023.

[428] A. Ni and N. Kehtarnavaz,     
A real-time smartphone app for field personalization of hearing enhancement by adaptive dynamic range optimization,
Proceedings of 5th International Congress on Human-Computer Interaction, Optimization, and Robotic Applications, Turkey, June 2023.

[427] L. Alam and N. Kehtarnavaz,     
Real-time generation of realistic defective wafer maps via deep learning network of CycleGAN,
Proceedings of SPIE Conference on Real-Time Image Processing and Deep Learning, Orlando, May 2023.

[426] N. Kehtarnavaz and E. Lobarinas,      
Machine learning solutions for systematic personalization of amplification in hearing aids,
American Journal of Biomedical Science and Research, vol. 17, pp. 632-634, Jan 2023.

[425] A. Ni, S. Akbarzadeh, E. Lobarinas, and N. Kehtarnavaz,     
Personalization of hearing aid fitting by adaptive dynamic range optimization,
Sensors, vol. 22, paper no. 6033, August 2022.

[424] (Editorial) N. Kehtarnavaz,      
Journal of Real-Time Image Processing, vol. 19, no. 6, August 2022.

[423] L. Alam and N. Kehtarnavaz,      
A survey of detection methods for die attachment and wire bonding defects in integrated circuit manufacturing,
IEEE Access, vol. 10, pp. 83826-83840, August 2022.

[422] S. Minaee, Y. Boykov, F. Porikli, A. Plaza, N. Kehtarnavaz, D. Terzopoulos, 
Image segmentation using deep learning: A survey,
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, pp. 3523-3542, July 2022;
appeared online Feb 2021;
arXiv: 2001:05566v2.

[421] F. Karami, N. Kehtarnavaz, and M. Rotea,    
Probabilistic neural network to quantify uncertainty of wind power estimation,
Proceedings of 15th IEEE Dallas Circuits and Systems Conference, Richardson, June 2022.

[420] S. Akbarzadeh, E. Lobarinas, and N. Kehtarnavaz,     
Online personalization of compression in hearing aids via maximum likelihood inverse reinforcement learning,
IEEE Access, vol. 10, pp. 58537 - 58546, May 2022.

[419] A. Ni and N. Kehtarnavaz,     
Smartphone-based hearing aid compression and noise reduction,
Sensors, vol. 22, paper no. 3306, April 2022.

[418]
E. Hervert, Y. Cao, and N. Kehtarnavaz,     
Deep learning architecture search for real-time image denoising,
Proceedings of SPIE Conference on Real-Time Image Processing and Deep Learning, Orlando, April 2022. 
 
[417] A. Azarang and N. Kehtarnavaz,     
A generative model method for unsupervised multispectral image fusion in remote sensing,
Signal, Image, and Video Processing, vol. 16, pp. 63-71, Feb 2022.

[416] (Editorial) N. Kehtarnavaz,
Journal of Real-Time Image Processing, vol. 19, no. 1, Jan 2022.

[415] (Editorial) M. Carlsohn and N. Kehtarnavaz,
Journal of Real-Time Image Processing, vol. 18, no. 6, Nov 2021.

[414] A. Azarang and N. Kehtarnavaz,     
Application of deep learning models in nonlinear detail map prediction in pansharpening,
Journal of Computational Science, vol. 54, paper no. 101431, Sept 2021.

[413] S. Majumder and N. Kehtarnavaz,     
Multitasking deep learning model for detection of five stages of diabetic retinopathy,
IEEE Access, vol. 9, pp. 123220-123230, August 2021.

[412] A. Ni, A. Azarang, and N. Kehtarnavaz,     
A review of deep learning-based contactless heart rate measurement methods,
Sensors, vol. 21, paper id 3719, May 2021.

[411] C. Grecos, M. Shirvaikar, and N. Kehtarnavaz,
Heuristic approaches for porting deep neural networks onto mobile devices,
Proceedings of SPIE Conference on Real-Time Image Processing and Deep Learning, April 2021.

[410] S. Majumder and N. Kehtarnavaz,     
A review of real-time human action recognition involving vision sensing,
Proceedings of SPIE Conference on Real-Time Image Processing and Deep Learning, April 2021.

[409] N. Alamdari, A. Azarang, and N. Kehtarnavaz,     
Improving deep speech denoising by noisy2noisy signal mapping,
Applied Acoustics, vol. 172, Jan  2021; arXiv:1904.12069v2.

[408
] N. Alamdari, E. Lobarinas, and N. Kehtarnavaz,     
Personalization of hearing aid compression by human-in-the-loop deep reinforcement learning,
IEEE Access, vol. 8, 203503-203515, Nov. 2020; arXiv:2207.00192.

[407] S. Akbarzadeh, N. Alamdari, C. Campbell, E. Lobarinas, and N. Kehtarnavaz,     
Word recognition clinical testing of personalized deep reinforcement learning compression,
Proceedings of 14th IEEE Dallas Circuits and Systems Conference, Nov. 2020.

[406] H. Zhu, H. Wei, B. Li, X. Yuan, and N. Kehtarnavaz,     
A review of video object detection: datasets, metrics and methods,
Applied Sciences, vol. 10, Nov. 2020.

[405] S. Majumder and N. Kehtarnavaz,     
Vision and inertial sensing fusion for human action recognition: a review,
IEEE Sensors Journal, Sept. 2020; arXiv:2008.00380.

[404] A. Azarang and N. Kehtarnavaz,     
A review of multi-objective deep learning speech denoising methods,
Speech Communication, vol. 122, pp. 1-10, 2020.

[403] A. Azarang and N. Kehtarnavaz, 
Image fusion in remote sensing by multi-objective deep learning,
International Journal of Remote Sensing, vol. 41, pp. 9507-9524, Dec 2020.

[402] H. Wei and N. Kehtarnavaz, 
Simultaneous utilization of inertial and video sensing for action detection and recognition in continuous action streams,
IEEE Sensors Journal, vol. 20, pp. 6055-6063, June 2020.

[401] H. Zhu, H. Wei, B. Li, X. Yuan, and N. Kehtarnavaz, 
Real-time moving object detection in high-resolution video sensing,
Sensors, vol. 20, paper no. 3591, June 2020.

[400] A. Azarang and N. Kehtarnavaz,     
Multispectral image fusion based on map estimation with improved detail,
Remote Sensing Letters, vol. 11, pp. 797-806, June 2020.

[399] (Editorial) N. Kehtarnavaz and M. Carlsohn,
Journal of Real-Time Image Processing, vol. 17, no. 3, May 2020.

[398] H. Wei, P. Chopada, and N. Kehtarnavaz,     
C-MHAD: Continuous multimodal human action dataset of simultaneous video and inertial sensing, 
Sensors, vol. 20, paper no. 2905, May 2020.

[397] S. Majumder, Y. Elloumi, M. Akil, R. Kachouri, and N. Kehtarnavaz,     
A deep learning-based smartphone app for real-time detection of five stages of diabetic retinopathy,
Proceedings of SPIE Conference on Real-Time Image Processing and Deep Learning, paper no. 1140106, April 2020.

[396] B. Richey, S. Majumder, M. Shirvaikar, and N. Kehtarnavaz,
Real-time detection of maize crop disease via a deep learning-based smartphone app,
Proceedings of SPIE Conference on Real-Time Image Processing and Deep Learning, paper no. 114010A, April 2020.

[395] (Patent) N. Kehtarnavaz, R. Jafari, K. Liu, C. Chen, J. Wu, 
Fusion of inertial and depth sensors for movement measurements and recognition,
US Patent #10432842, issued October 2019.
 
[394] (Editorial) M. Carlsohn and N. Kehtarnavaz,
Journal of Real-Time Image Processing, vol. 16, no. 6, pp. 1889-1890, Nov 2019.

[393] H. Wei, R. Jafari, and N. Kehtarnavaz, 
Fusion of video and inertial sensing for deep learning-based human action recognition,
Sensors, vol. 19, no. 3680, August 2019.

[392] H. Wei and N. Kehtarnavaz, 
Semi-supervised faster RCNN-based person detection and load classification for far field video surveillance,
Journal of Machine Learning and Knowledge Extraction, vol.1, pp. 756-767, June 2019.

[391] A. Azarang, J. Hansen, and N. Kehtarnavaz,
Combining data augmentations for CNN-based voice command recognition,
Proceedings of IEEE Conference on Human System Interaction, Richmond, VA, June 2019.

[390] N. Alamdari, E. Lobarinas, and N. Kehtarnavaz, 
An educational tool for hearing aid compression fitting via a web-based adjusted smartphone app,
Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, UK, May 2019.

[389] H. Wei, A. Sehgal, and N. Kehtarnavaz,     
A deep learning-based smartphone app for real-time detection of retinal abnormalities in fundus images,
Proceedings of SPIE Conference on Real-Time Image Processing and Deep Learning, Baltimore, MD, April 2019.

[388] (Manual) N. Alamdari and N. Kehtarnavaz,
A real-time smartphone app for unsupervised noise classification in realistic audio environments,  
user's guide prepared for NIH-NIDCD, April 2019.


[387] (Editorial) N. Kehtarnavaz and M. Carlsohn,
Journal of Real-Time Image Processing, vol. 16, no. 2, pp. 241-242, April 2019.

[386] A. Azarang, H. Manoochehri, and N. Kehtarnavaz,     
Convolutional autoencoder-based multispectral image fusion,
IEEE Access, vol. 7, pp. 35673-35683, March 2019.

[385] A. Sehgal and N. Kehtarnavaz,     
Guidelines and benchmarks for deployment of deep learning models on smartphones as real-time apps,
arXiv:1901.02144 & Machine Learning and Knowledge Extraction, vol. 1, pp. 450-465, Feb 2019.

[384] N. Dawar, S. Ostadabbas, and N. Kehtarnavaz,     
Data augmentation in deep learning-based fusion of depth and inertial sensing for action recognition,
IEEE Sensors Letters, vol. 3, pp. 1-4, Jan 2019.


[3
83] N. Alamdari and N. Kehtarnavaz,     
A real-time smartphone app for unsupervised noise classification in realistic audio environments,
Proceedings of IEEE International Conference on Consumer Electronics, Las Vegas, NV, Jan 2019.

[3
82] N. Dawar and N. Kehtarnavaz,     
Action detection and recognition in continuous action streams by deep learning-based sensing fusion,
IEEE Sensors Journal, vol. 18, no. 23, pp. 9660-9668, Dec 2018.

[381] N. Alamdari, S. Yaraganalu, and N. Kehtarnavaz,     
A real-time personalized noise reduction smartphone app for hearing enhancement,
Proceedings of IEEE Signal Processing in Medicine and Biology Symposium, Philadelphia, PA, Dec 2018.

[
380] (Editorial) M. Carlsohn and N. Kehtarnavaz,      
Journal of Real-Time Image Processing, vol. 15, no. 4, pp. 705-707, Dec 2018.

[379] (Book Chapter) A. Gholipour and N. Kehtarnavaz,     
Biomedical Image Registration,
in Encyclopedia of Image Processing, Editor: P. Laplante, pp. 24-38, Nov 2018.


[378] H. Wei, M. Laszewski, and N. Kehtarnavaz,     
Deep learning-based person detection and classification for far field video surveillance,
Proceedings of IEEE Dallas Circuits and Systems Conference, Richardson, TX, Nov 2018.


[377] H. Wei and N. Kehtarnavaz,     
Determining number of speakers from single microphone speech signals by multi-label convolutional neural network,
Proceedings of IEEE Conference on Industrial Electronics, Washington, DC, Oct 2018.

[376] (Editorial) N. Kehtarnavaz and M. Carlsohn,      
Journal of Real-Time Image Processing, vol. 15, no. 2, pp. 217-219, August 2018.

[375] T. Chowdhury, A. Sehgal, and N. Kehtarnavaz,,     
Integrating signal processing modules of hearing aids into a real-time smartphone app,
Proceedings of IEEE Engineering in Medicine and Biology Conference, Honolulu, HI, July 2018.

[
374] N. Dawar and N. Kehtarnavaz,      
A convolutional neural network-based sensor fusion system for monitoring transition movements in healthcare applications,
Proceedings of IEEE International Conference on Control and Automation, Anchorage, AK, June 2018.

[373] Y. Elloumi, M. Akil, and N. Kehtarnavaz,      
A computationally efficient retinal detection and enhancement image processing pipeline for smartphone-captured fundus images,
Journal of Multimedia Information Systems, vol. 5, pp. 79-82, June 2018.


[372] (Patent) R. Jafari, N. Kehtarnavaz and C. Chen, 
Wearable medication adherence monitoring,

US Patent # 9971874, issued May 2018.

[3
71] Y.  Elloumi, M. Akil, and N. Kehtarnavaz,      
A mobile computer aided system for optic nerve head detection,
Computer Methods and Programs in Biomedicine, vol. 162, pp. 139-148, May 2018.

[370] C-H. Chang and N. Kehtarnavaz,      
Fast J-linkage algorithm for camera orientation applications,
Journal of Real-Time Image Processing, vol. 14, no. 4, pp. 823-832, April 2018.

[369] (Manual) A. Sehgal and N. Kehtarnavaz,      
A voice activity detector smartphone app for hearing improvement studies,
user's guide prepared for and delivered to NIH-NIDCD, April 2018.

[368] C-H. Chang and N. Kehtarnavaz,      
A computationally efficient pipeline for 3D point cloud reconstruction from video sequences, 
Proceedings of SPIE Conference on Real-Time Image and Video Processing, Orlando, FL, April 2018.

[367] (Editorial) M. Carlsohn and N. Kehtarnavaz,      
Journal of Real-Time Image Processing, vol. 14, no. 4, pp. 729-731, April 2018.

[366] F. Saki and N. Kehtarnavaz,      
Real-time hierarchical classification of sounds signals for hearing improvement devices,
Applied Acoustics Journal, vol. 132, pp. 26-32, March 2018.

[365] (Manual) N. Alamdari and N. Kehtarnavaz,      
An unsupervised noise classifier smartphone app for hearing improvement studies,
user's guide prepared for and delivered to NIH-NIDCD, March 2018.


[364] (Manual) A. Sehgal and N. Kehtarnavaz,      
How to use two external microphones in smartphone apps for hearing improvement studies,
user's guide prepared for and delivered to NIH-NIDCD, March 2018.

[363] A. Sehgal and N. Kehtarnavaz,      
A convolutional neural network smartphone app for voice activity detection,
IEEE Access Journal, open access, vol. 6, pp. 9017-9026
, Feb 2018.

[362] (Editorial) N. Kehtarnavaz and M. Carlsohn,      
Journal of Real-Time Image Processing, vol. 14, no. 2, pp. 245-247, Feb 2018.   

[361] S. Saki, A. Bhattacharya, and N. Kehtarnavaz,      
Real-time Simulink implementation of noise adaptive speech processing pipeline of cochlear implants, 
Speech Communication Journal, vol. 96, pp. 197-206, Feb 2018.

[360] N. Dawar and N. Kehtarnavaz,      
Real-time continuous detection and recognition of subject-specific smart TV gestures via fusion of depth and inertial sensing,
IEEE Access Journal, open access, vol. 6, pp. 7019-7028,
Jan 2018.

[359] N. Dawar and N. Kehtarnavaz,    
Data flow synchronization of a real-time fusion system to detect and recognize smart TV gestures, 
Proceedings of IEEE International Conference on Consumer Electronics, Las Vegas, NV, Jan 2018.

[358] A. Sehgal and N. Kehtarnavaz,   
Utilization of two microphones for real-time low-latency audio smartphone apps,
Proceedings of IEEE International Conference on Consumer Electronics, Las Vegas, NV, Jan 2018.

[357] N. Alamdari, F. Saki, A. Sehgal, and N. Kehtarnavaz,   
An unsupervised noise classification smartphone app for hearing improvement devices,
Proceedings of IEEE Signal Processing in Medicine and Biology Symposium, Philadelphia, Dec 2017.

[356] (Manual) T. Chowdhury, A. Sehgal, and N. Kehtarnavaz,   
A smartphone app integrating VAD and supervised noise classifier for hearing improvement studies,
user's guide prepared for NIH-NIDCD, Dec 2017.

[355] (Editorial) M. Carlsohn and N. Kehtarnavaz,   
Journal of Real-Time Image Processing, vol. 13, no. 4, pp.  665-667, Dec 2017.

[354] R. Pourreza-Shahri and N. Kehtarnavaz,     
Automatic exposure selection and fusion for high-dynamic-range photography via smartphones,
Journal of Signal, Image and Video Processing, vol. 11, pp. 1437-1444, Nov 2017.  

[353] C. Chen, M. Liu, H. Liu, B. Zhang, J. Han, and N. Kehtarnavaz,  
Multi-temporal depth motion maps-based local binary patterns for 3D human action recognition,
IEEE Access Journal, open access, vol. 5, pp. 22590-22604, Oct 2017.

[352] N. Dawar and N. Kehtarnavaz, 
Continuous detection and recognition of actions of interest among actions of non-interest using a depth camera,
Proceedings of IEEE International Conference on Image Processing, Beijing, China, September 2017.

[351] F. Saki, and N. Kehtarnavaz,     
Real-time unsupervised classification of environmental noise signals,
IEEE Trans. on Audio, Speech, and Language Processing, vol. 25, pp. 1657-1667, August 2017.

[350] (Editorial) N. Kehtarnavaz and M. Carlsohn,      
Journal of Real-Time Image Processing, vol. 13, no. 2, pp. 245-247, June 2017.

[349] A. Sehgal, F. Saki, and N. Kehtarnavaz,     
Real-time implementation of voice activity detector on ARM processor of smartphones,
Proceedings of IEEE International Symposium on Industrial Electronics, Edinburgh, Scotland, June 2017.

[348] A. Bhattacharya, A Sehgal, and N. Kehtarnavaz,     
Low-latency smartphone app for real-time noise reduction of noisy speech signals,
Proceedings of IEEE International Symposium on Industrial Electronics, Edinburgh, Scotland, June 2017.

[347] N. Dawar, C. Chen, R. Jafari, and N. Kehtarnavaz,     
Real-time continuous action detection and recognition using depth images and inertial signals,
Proceedings of IEEE International Symposium on Industrial Electronics, Edinburgh, Scotland, June 2017.

[346] (Abstract) N. Kehtarnavaz and I. Panahi,   
Smartphones as research platform for hearing improvement studies,
Journal of Acoustical Society of America, vol. 141, p. 3495, June 2017.

[345] (Manual) N. Kehtarnavaz and A. Sehgal,
How to run C/Matlab codes on iOS smartphones as open source and 
portable research platforms for hearing improvement studies,
user's guide prepared for and delivered to NIH-NIDCD, May 2017.
 

[344] (Manual) N. Kehtarnavaz and A. Sehgal,
How to run C/Matlab codes on Android smartphones as open source and 
portable research platforms for hearing improvement studies,
user's guide prepared for and delivered to NIH-NIDCD, May 2017.

[343] (Manual) A. Sehgal and N. Kehtarnavaz,      
A voice activity detector smartphone app for hearing improvement studies,  
user's guide prepared for and delivered to NIH-NIDCD, May 2017.

[342] (Manual) A. Sehgal and N. Kehtarnavaz,      
A noise classifier smartphone app for hearing improvement studies, 
user's guide prepared for and delivered to NIH-NIDCD, May 2017.

[341] (Manual) A. Sehgal, B. Bhattacharya, T. Chowdhury, and N. Kehtarnavaz,      
A low-latency noise reduction smartphone app for hearing improvement studies,  
user's guide prepared for and delivered to NIH-NIDCD, May 2017.

[340] C. Chen, H. Hao, R. Jafari, and N. Kehtarnavaz,     
Weighted fusion of depth and inertial data to improve view invariance for real-time human action recognition,
Proceedings of SPIE Conference on Real-Time Image and Video Processing, Anaheim, April 2017.

[339] N. Kehtarnavaz and F. Saki,     
Smartphone-based anywhere-anytime signals and systems laboratory,
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, March 2017.

[338] C. Chen, R. Jafari, and N. Kehtarnavaz,     
A survey of depth and inertial sensor fusion for human action recognition,  
Journal of Multimedia Tools and Applications, vol. 76, pp. 4405-4426, Feb 2017.

[337] C-H. Chang and N. Kehtarnavaz,      
Computationally efficient image deblurring using low rank image approximation and its GPU implementation,
Journal of Real-Time Image Processing, vol. 12, pp. 567-573, Oct 2016.

[336] (Editorial) M. Carlsohn and N. Kehtarnavaz,      
Journal of Real-Time Image Processing, vol. 12, no. 3, pp.563-565, Oct 2016.

[335] F. Saki and N. Kehtarnavaz,
Online frame-based clustering with unknown number of clusters,  
Pattern Recognition Journal, vol. 57, pp. 70-83, September 2016.

[334] F. Saki and N. Kehtarnavaz,     
Automatic switching between noise classification and speech enhancement for hearing aid devices,
Proceedings of IEEE EMBC, Orlando, August 2016.

[333] I. Panahi, N. Kehtarnavaz, and L. Thibodeau,    
Smartphone-based noise adaptive speech enhancement for hearing aid applications, 
Proceedings of IEEE EMBC, Orlando, August 2016.

[332] R. Yu, Y. Hao, I. Panahi, and N. Kehtarnavaz,    
Smartphone-based real-time speech enhancement for improving hearing aids speech perception, 
Proceedings of IEEE EMBC, Orlando, August 2016.

[331] (Patent) N. Kehtarnavaz, V. Gopalakrishna, and P. Loizou,  
Automated Method of Classifying and Suppressing Noise in Hearing Devices,
US Patent #9364669, issued June 2016.

[330] C. Chen, K. Liu, and N. Kehtarnavaz,   
Real-time human action recognition based on depth motion maps, 
Journal of Real-Time Image Processing, vol. 12, pp. 155-163, June 2016.

[329] (Editorial) N. Kehtarnavaz and M. Carlsohn, 
Journal of Real-Time Image Processing, vol. 12, no. 1, pp.1-4, June 2016.

[328] S. Liu, C. Chen, and N. Kehtarnavaz,
A computationally efficient denoising and hole filling method for depth image enhancement, 
Proceedings of SPIE Conference on Real-Time Image and Video Processing, Brussels, April 2016.

[327] F. Saki, A. Sehgal, I. Panahi, and N. Kehtarnavaz,
Smartphone-based real-time classification of noise signals using subband features and random forest classifier,  
Proceedings of IEEE ICASSP Conference, China, March 2016.

[326] C. Chen, R. Jafari, and N. Kehtarnavaz,
Fusion of depth, skeleton, and inertial data for human action recognition, 
Proceedings of IEEE ICASSP Conference, China, March 2016.

[325] (Editorial) M. Carlsohn and N. Kehtarnavaz, 
Journal of Real-Time Image Processing, vol. 11, no. 3, pp.423-426, March 2016.

[324] T. Bennett, J. Wu, N. Kehtarnavaz, and R. Jafari,  
A survey of IMU-based wearable computers for assisted living applications: a signal processing perspective, 
IEEE Signal Processing Magazine, vol. 33, pp.28-35, March 2016.

[323] M. Yakut and N. Kehtarnavaz,    
Ice-hockey puck detection and tracking for video highlighting,
Journal of Signal, Image and Video Processing, vol.10, pp. 527-533, March 2016. 

[322] C. Chen, R. Jafari, and N. Kehtarnavaz,     
A real-time human action recognition system using depth and inertial sensor fusion,  
IEEE Sensors Journal, vol. 16, pp. 773-781, Feb 2016.

[321] K. Liu and N. Kehtarnavaz, 
Real-time robust vision-based hand gesture recognition using stereo images,
Journal of Real-Time Image Processing, vol. 11, pp. 201-209, Jan 2016.

[320] (Editorial) N. Kehtarnavaz and M. Carlsohn, 
Journal of Real-Time Image Processing, vol. 11, no. 1, pp.1-3, Jan 2016.

[319] R. Pourreza-Shahri and N. Kehtarnavaz,    
Exposure bracketing via automatic exposure selection,
Proceedings of IEEE ICIP Conference, Canada, Sept 2015. 

[318] C. Chen, R. Jafari, and N. Kehtarnavaz,
UTD-MHAD: A multimodal dataset for human action recognition
utilizing a depth camera and a wearable inertial sensor,
Proceedings of IEEE ICIP Conference, Canada, Sept 2015.

[317] N. Kehtarnavaz, S. Parris, and A. Sehgal,     
Using smartphones as mobile implementation platforms for applied digital signal processing courses, 
Proceedings of IEEE Signal Processing Education Workshop, Salt Lake City, August 2015. 

[316] (Editorial) M. Carlsohn and N. Kehtarnavaz, 
Journal of Real-Time Image Processing, vol. 10, no. 3, pp.467-468, August 2015.

[315] R. Pourreza-Shahri, S. Parris, F. Saki, I. Panahi, and N. Kehtarnavaz,    
From Simulink to smartphone: signal processing application examples,
Proceedings of IEEE ICASSP Conference, Australia, April 2015. 

[314] (Editorial) N. Kehtarnavaz and M. Carlsohn, 
Journal of Real-Time Image Processing, vol. 10, no. 1, pp.1-3, Feb 2015.

[313] C. Chen, R. Jafari, and N. Kehtarnavaz,    
Improving human action recognition using fusion of depth camera and inertial sensors, 
IEEE Trans. on Human-Machine Systems, vol. 45, pp. 51-61, Feb 2015. 

[312] R. Pourreza-Shahri, C-H. Chang, and N. Kehtarnavaz,    
Real-time deblurring of handshake blurred images on smartphones, 
Proceedings of SPIE Conference on Real-Time Image and Video Processing, Feb 2015. 

[311] J. Nightingale, T. AlHadhrami, Q. Wang, C. Grecos, and N. Kehtarnavaz,    
A simulator tool set for evaluating HEVC/SHVC streaming, 
Proceedings of SPIE Conference on Real-Time Image and Video Processing, Feb 2015. 

[310] C. Chen, R. Jafari, and N. Kehtarnavaz,    
Action recognition from depth sequences using depth motion maps-based binary patterns,  
Proceedings of IEEE Winter Conference  on Applications of Computer Vision, Jan 2015.  

[309] R. Poureza-Shahri and N. Kehtarnavaz,   
Automatic exposure selection for high dynamic range photography,  
Proceedings of IEEE Conference on Consumer Electronics,  Jan 2015.

[308] R. Pourreza-Shahri, S. Yousefi, and N. Kehtarnavaz,   
A gradient-based optimization approach for reduction of blocking artifacts in JPEG images,
Journal of Signal Processing: Image Communication, vol. 29, pp. 1079-1091, Nov. 2014.

[307] (Book Chapter) T. Mirzahasanloo and N. Kehtarnavaz,
A generalized speech enhancement framework for bilateral cochlear implants using a single processor,
in Cochlear Implants: Technological Advances, Psychological/Social Impacts and Long-Term Effectiveness,
Nova Science Publishers, 2014.  

[306] R. Pourreza-Shahri, S. Yousefi, and N. Kehtarnavaz,   
Optimization method to reduce blocking artifacts in JPEG images,
SPIE Journal of Electronic Imaging, vol. 23, paper no. 063023, Nov. 2014.  

[305] (Editorial) M. Carlsohn and N. Kehtarnavaz, 
Journal of Real-Time Image Processing, vol. 9, no. 4, pp. 587-588, Oct 2014.

[304] K. Lui, C. Chen. R. Jafari, and N. Kehtarnavaz,   
Multi-HMM classification for hand gesture recognition using two differing modality sensors, 
Proceedings of 10th IEEE Dallas Circuits and Systems Conference, Oct. 2014.

[303] S. Ostadabbas, M. Pouyan, M. Nourani, N. Kehtarnavaz,   
In-bed posture classification and limb identification, 
Proceedings of IEEE Biomedical Circuits and Systems Conference, Switzerland, Oct. 2014.

[302] S. Parris, M. Torlak, and N. Kehtarnavaz,   
Real-time implementation of cochlear implant speech processing pipeline on smartphones,
Proceedings of IEEE International Conference Engineering in Medicine and Biology, Chicago, August 2014.

[301] C. Chen, K. Liu, R. Jafari, and N. Kehtarnavaz,   
Home-based senior fitness test measurement system using collaborative inertial and depth sensors,
Proceedings of IEEE International Conference Engineering in Medicine and Biology, Chicago, August 2014.

[300] F. Saki, T. Mirzahasanloo, and N. Kehtarnavaz,
A multi-band environment-adaptive approach to noise suppression for cochlear implants,  
Proceedings of IEEE International Conference Engineering in Medicine and Biology, Chicago, August 2014.

[299] C. Chen, N. Kehtarnavaz, and R. Jafari,    
A medication adherence monitoring system for pill bottles based on a wearable inertial sensor,
Proceedings of IEEE International Conference Engineering in Medicine and Biology, Chicago, August 2014.

[298] (Patent) N. Kehtarnavaz and M. Rahman,  
Adaptive automatic exposure apparatus and method for digital images,
US Patent No. 8743235, issued June 2014.

[297] (Editorial) N. Kehtarnavaz and M. Carlsohn,  
Journal of Real-Time Image Processing, vol. 9, no. 2, pp. 297-298, June 2014.

[296] K. Liu, C. Chen, R. Jafari, and N. Kehtarnavaz,   
Fusion of inertial and depth sensor data for robust hand gesture recognition,
IEEE Sensors Journal,  vol. 14, pp. 1893-1903, June 2014.

[295] C-H. Chang and N. Kehtarnavaz,   
A computationally efficient approach to 3D point cloud reconstruction from video image sequences,  
SPIE Journal of Electronic Imaging, vol. 23, paper no. 033020, May 2014.

[294] N. Kehtarnavaz and S. Parris,
Teaching Digital Signal Processing on Smartphones: A Mobile DSP Laboratory,
Show&Tell IEEE ICASSP Conference, Italy, May  2014.

[293] R. Pourreza-Shahri, M. Tavakoli, and N. Kehtarnavaz,   
Computationally efficient optic nerve head detection in retinal fundus images,  
Journal of Biomedical Signal Processing and Control, vol. 11, pp. 63-73, May 2014.

[292] F. Saki and N. Kehtarnavaz,   
Background noise classification using random forest tree classifier for cochlear implant applications,  
Proceedings of IEEE ICASSP Conference, Italy, May 2014.

[291] S. Khoubrouy, I. Panahi, and N. Kehtarnavaz,    
Howling detection in hearing aids using discrete energy separation algorithm-2 and generalized Teager-Kaiser operator,
Proceedings of IEEE ICASSP Conference, Italy, May 2014.

[290] K. Liu, N. Kehtarnavaz, and M. Carlsohn,    
Comparison of two real-time hand gesture recognition systems involving stereo cameras, depth camera, and inertial sensor,
Proceedings of SPIE Conference on Real-Time Image and Video Processing, Belgium, April 2014.

[289] R. Razlighi and N. Kehtarnavaz,   
Spatial mutual information as similarity measure for 3D brain image registration,
IEEE Journal of Translational Engineering in Health and Medicine,  vol. 2, paper no. 1800308, Feb 2014.

[288] C-H. Chang and N. Kehtarnavaz,   
Computationally efficient vanishing point detection for camera applications,
 
Proceedings of IEEE International Conference on Consumer Electronics, Jan 2014.

[287] C-H. Chang and N. Kehtarnavaz,   
Improving computational efficiency of 3D point cloud reconstruction from image sequences,
 
Proceedings of IEEE International Symposium on Multimedia, Dec 2013.

[286] (Editorial) N. Kehtarnavaz and M. Carlsohn,  
Journal of Real-Time Image processing, vol. 8, no. 4, Dec 2013.

[285] C-H. Chang, S. Parthasarthy and N. Kehtarnavaz,   
Comparison of two computationally feasible image deblurrng techniques for smarphones,
 
Proceedings of IEEE Global Conference on Signal and Information Processing, Dec 2013.

[284] R. Razlighi, N. Kehtarnavaz, and S. Yousefi,  
Evaluating similarity measure for brain image registration, 
 
Journal of Visual Communication and Image Understanding, vol. 24, pp. 977-987, Oct 2013.

[283] R. Pourreza-Shahri, F. Saki, N. Kehtarnavaz, P. Leboulluec, H. Liu, 
Classification of ex-vivo breast cancer positive margins measured by hyperspectral imaging, 
Proceedings of IEEE International Conference on Image Processing, Australia, September 2013.

[282] T. Mirzahasanloo, N. Kehtarnavaz, and I. Panahi,  
Adding quiet and music detection capabilities to FDA-approved cochlear implant research platform,

Proceedings of 8th International Symposium on Image and Signal Processing and Analysis, Italy, Sept 2013.

[281] T. Mirzahasanloo and N. Kehtarnavaz, 
Real-time dual-microphone noise classification for environment-adaptive pipelines of cochlear implants,
Proceedings of IEEE International Conference Engineering in Medicine and Biology, Japan, July 2013.

[280] B. Kim, N. Kehtarnavaz, P. LeBoulluec, H. Liu, Y. Peng, and D. Euhus,
Automation of ROI extraction in hyperspectral breast images,
Proceedings of IEEE International Conference Engineering in Medicine and Biology, Japan, July 2013.

[279] S. Yousefi, N. Kehtarnavaz and Y. Cao, 
Computationally tractable stochastic image modeling based on symmetric Markov mesh random fields,
IEEE Transactions on Image Processing, vol. 22, pp. 2192-2206, June 2013.

[278] (Editorial) M. Carlsohn and N. Kehtarnavaz, 
Journal of Real-Time Image Processing, vol. 8, no. 2, pp. 141-142, May 2013.

[277] T. Mirzahasanloo and N. Kehtarnavaz, 
A generalized data-driven speech enhancement framework for bilateral cochlear implants,
Proceedings of IEEE ICASSP, Vancouver, May 2013.

[276]  T. Mirzahasanloo, N. Kehtarnavaz, V. Gopalakrishna, P. Loizou,
Environment-adaptive speech enhancement for bilateral cochlear implants using a single processor,
Speech Communication Journal, vol. 55, pp. 523-534, May 2013. 

[275]  C-H. Chang, N. Kehtarnavaz, K. Raghuram. R. Staszewski,
A computationally efficient approach to 3D point cloud reconstruction,

Proceedings of SPIE Conference on Real-Time Image and Video Processing, vol. 8656, San Francisco, Feb 2013.

[274] (Editorial) N. Kehtarnavaz and M. Carlsohn, 
Journal of Real-Time Image Processing, 
vol. 7, no. 4, pp. 203-204, Dec 2012.

[273] S. Mahotra, C. Patllola, and N. Kehtarnavaz,
Real-time computation of disparity for hand-pair gesture recognition using video stereo images,
Journal of Real-Time Image Processing, vol. 7, pp. 257-266, Dec 2012. 

[272]  Q. Razlighi and N. Kehtarnavaz,
A review of spatially dependent similarity measures for 3D brain image registration,

Proceedings of IEEE Healthcare Technology Conference, Houston, November 2012. 

[271] S. Yousefi, N. Kehtarnavaz, Y. Cao, and Q. Razlighi,
Bilateral Markov mesh random field and its application to image restoration,

Journal of Visual Communication and Image Representation, vol.23, pp. 1051-1059, Oct. 2012. 

[270] T. Mirzahasanloo, V. Gopalakrishna, N. Kehtarnavaz, and P. Loizou,
Adding real-time noise suppression capability to the cochlear implant PDA research platform,
 
Proceedings of IEEE International Conference on Engineering in Medicine and Biology, San Diego, Aug 2012. 

[269] S. Yousefi, N. Kehtarnavaz, and A. Gholipour,
Improved labeling of subcortical brain structures in atlas-based segmentation of magnetic resonance images,

IEEE Transactions on Biomedical Engineering, vol. 59, pp. 1808-1817, July 2012. 

[268] (Editorial) M. Carlsohn and N. Kehtarnavaz, 
Journal of Real-Time Image Processing, 
vol. 7, no. 2, pp. 67-68, June 2012.

[267] V. Gopalakrishna, N. Kehtarnavaz, T. Mirzahasanloo, and P. Loizou,
Real-time automatic tuning of noise suppression algorithms for cochlear implant applications,

IEEE Transactions on Biomedical Engineering, vol. 59, pp. 1691-1700, June 2012. 

[266]  S-J. Nam and N. Kehtarnavaz,
Flash shadow detection and removal in stereo photography,
 
IEEE Transactions on Consumer Electronics, vol. 58, pp. 205-211, May 2012. 

[265]  M. Gamadia and N. Kehtarnavaz,
A filter-switching auto-focus framework for camera imaging systems,

IEEE Transactions on Consumer Electronics, vol. 58, pp. 228-236, May 2012. 

[264] V. Gopalakrishna, N. Kehtarnavaz, C. Patllola, and M. Carlsohn,
Real-time FPGA implementation of recursive wavelet packet transform,
 
Proceedings of SPIE Conference on Real-Time Image and Video Processing, Brussels, April 2012. 

[263] C. Patllola, S. Mahotra, and N. Kehtarnavaz, 
Real-time hand-pair gesture recognition using a stereo webcam,
Proceedings of IEEE Conference on Emerging Signal Processing Applications, Las Vegas, Jan 2012.

[262] (Book Chapter) N. Kehtarnavaz, V. Gopalakrishna, and P. Loizou,
Recursive Computation of Discrete Wavelet Transform, 
in LabVIEW: A Developer's Guide in Real Word Integration, CRC Press, 2011.

[261] (Editorial) N. Kehtarnavaz and M. Carlsohn, 
Journal of Real-Time Image Processing, 
vol. 6, no.4, pp. 213-214, 2011.

[260] B. Kim, S. Yousefi, and N. Kehtarnavaz, 
Structural analysis to distinguish pregnancy stages using second harmonic generation imaging,
Proceedings of IASTED International Conference on Signal and Image Processing, Dallas, Dec. 2011.
 

[259] S. Yousefi, B. Kim, and N. Kehtarnavaz, 
Automating porosity features extraction from second harmonic generation images of cervical tissue,
Proceedings of IASTED International Conference on Signal and Image Processing, Dallas, Dec. 2011.

[258] (Patent) M. Gamadia and N. Kehtarnavaz,
Automatic Apparatus and Method for Digital Images Using Automatic Filter Switching,
US Patent # 8049811, issued November 2011.

[257] (Manual) S. Nam and N. Kehtarnavaz,
Flash shadow detection and removal in stereo photography user's guide,  
delivered to Texas Instruments, Nov. 2011.

[256] S. Yousefi and N. Kehtarnavaz, 
Generating symmetric causal Markov random fields, 
IEE Electronics Letters, vol. 47, pp. 1224-1225, Oct. 2011.

[255] D. Kim, V. Gopalakrishna, S. Guo, H. Lee, M. Torlak, N. Kehtarnavaz, A. Lobo, P. Loizou,
On the design of a flexible simulator for animal studies in auditory prostheses, 

Journal of Biomedical Signal Processing and Control, vol. 6, pp.  346-355, Oct 2011. 

[254] M. Rahman, N. Kehtarnavaz, and S. Yousefi,
An auto-focus sharpness function for stereo image pairs,
Proceedings of IEEE International Conference on Image Processing, Brussels, Sept 2011. 

[253] S. Yousefi, N. Kehtarnavaz, A. Gholipour,
Synthesis of cervical tissue second harmonic generation images using Markov random field modeling,
Proceedings of IEEE International Conference on Engineering in Medicine and Biology, Boston, Sept. 2011. 

[252] A. Gholipour, N. Kehtarnavaz, B. Sherrer, S. Warfield,
On the accuracy of unwarping techniques for the correction of susceptibility-induced geometric distortion in magnetic resonance echo-planar images,
Proceedings of IEEE International Conference on Engineering in Medicine and Biology, Boston, Sept. 2011.

[251] S. Yousefi, M. Rahman, and N. Kehtarnavaz, 
A new auto-focus sharpness function for digital and smart-phone cameras, 
IEEE Transactions on Consumer Electronics, vol. 57, pp. 1003-1009, August 2011. 

[250] V. Gopalakrishna, S. Yousefi, N. Kehtarnavaz, and P. Loizou
Markov random field-based features for background noise characterization in hearing devices,
 
Proceedings of 14th ASMDA Conference, Rome, June 2011.

[249] (Editorial) N. Kehtarnavaz and M. Carlsohn, 
Journal of Real-Time Image Processing, 
vol. 6, pp. 71-72, June 2011.

[248] R. Razlighi, M. Rahman, and N. Kehtarnavaz,  
Fast computation methods for estimation of image spatial entropy,
Journal of Real-Time Image Processing, vol. 6, pp. 137-142, June 2011.

[247] S. Yousefi and N. Kehtarnavaz, 
A new stochastic image model based on Markov random fields and its application to texture modeling,
Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Prague, May 2011. 

[246] N. Kehtarnavaz and S. Mahotra, 
FPGA implementation made easy for applied digital signal processing courses, 
Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Prague, May 2011. 
 

[245] S. Yousefi, M. Rahman, N. Kehtarnavaz, and M. Gamadia,
A new auto-focus sharpness function for digital and smart-phone cameras,
Proceedings of IEEE International Conference on Consumer Electronics, Las Vegas, Jan 2011.

[244] M. George, N. Kehtarnavaz, and L. Estevez,  
Real-time implementation of logo detection on open source Beagleboard,
Proceedings of SPIE Conference on Real-Time Image and Video Processing, San Francisco, Jan 2011. 

[243] M. Gamadia, M. Rahman, and N. Kehtarnavaz,
Performance metrics for passive auto-focus search algorithms for digital and smart-phone cameras, 
Journal of Imaging Science and Technology, vol. 55, pp. 10507.1-10507.12, Jan/Feb 2011. 
 

[242] M. Rahman, N. Kehtarnavaz, R. Razlighi, 
Using image entropy maximum for auto exposure, 
SPIE Journal of Electronic Imaging, vol. 20, pp. 013007.1-013007.10, Jan-Mar 2011. 

[241] S. Yousefi, M. Nguyen, N. Kehtarnavaz, and Y. Cao,
Facial expression recognition based on diffeomorphic matching,
Proceedings of IEEE International Conference on Image Processing, Hong Kong, Sept. 2010. 

[240] V. Gopalakrishna, N. Kehtarnavaz, P. Loizou, and I. Panahi, 
Real-time automatic switching between noise suppression algorithms for deployment in cochlear implants,
Proceedings of IEEE International Conference on Engineering in Medicine and Biology, Buenos Aires, Sept. 2010.

[239] S. Yousefi, N. Kehtarnavaz, M. Akins, K. Luby-Phelps, and M. Mahendroo,
Separation of preterm infection model from normal pregnancy in mice using texture analysis of second harmonic generation images,
Proceedings of IEEE International Conference on Engineering in Medicine and Biology, Buenos Aires, Sept. 2010.

[238] G. Kannan, A. Milani, I. Panahi, and N. Kehtarnavaz, 
Performance enhancement of adaptive noise control systems for fMRI machines,
Proceedings of IEEE International Conference on Engineering in Medicine and Biology, Buenos Aires, Sept. 2010.

[237] (Editorial) M. Carlsohn and N. Kehtarnavaz,
Journal of Real-Time Image Processing,
vol. 5, pp. 139-140, Sept. 2010.

[236] V. Gopalakrishna, N. Kehtarnavaz, and P. Loizou,
A recursive wavelet-based strategy for real-time cochlear implant speech processing on PDA platforms,
IEEE Transactions on Biomedical Engineering, vol. 57, pp. 2053-2063, August 2010.

[235] O. Ibarra-Manzano, Y. Shmaliy, N. Kehtarnavaz, I. Panahi, and P. Tinttori,
Implementation of unbiased FIR filters with low-degree polynomial gains,
Proceedings of European Signal Processing Conference, Denmark, August 2010.

[234] A. Gholipour, N. Kehtarnavaz, S. Yousefi, K. Gopinath, and R. Briggs,   
Symmetric deformable image registration via optimization of information theoretic measures,
Journal of Image and Vision Computing, vol. 28, pp. 965-975, June 2010.

[233] S. Yousefi, N. Kehtarnavaz, A. Gholipour, K. Gopinath, and R. Briggs,   
Comparison of atlas-based segmentation of subcortical structures in magnetic resonance brain images,
Proceedings of IEEE Southwest Symposium on Image Analysis and Interpretation, Austin, May 2010.

[232] M. George, N. Kehtarnavaz, M. Rahman, M. Carlsohn, 
Real-time logo detection and tracking in video,
Proceedings of SPIE Conference on Real-Time Image and Video Processing, Brussels, April 2010.

[231] S. Yousefi, N. Kehtarnavaz, M. Akins, K. Luby-Phelps, and M. Mahendroo,   
Distinguishing different stages of mouse pregnancy using second harmonic generation images,
Proceedings of IEEE SSST Conference, Tyler, March 2010.

[230] V. Gopalakrishna, N. Kehtarnavaz, and P. Loizou,  
Real-time implementation of wavelet-based Advanced Combination Encoder on PDA platforms,
Proceedings of IEEE ICASSP Conference, Dallas, March 2010.

[229] (Editorial) M. Carlsohn and N. Kehtarnavaz,
Journal of Real-Time Image Processing,
vol. 5, pp. 1-2, March 2010.

[228] J. Ren, M. Rahman, N. Kehtarnavaz, and L. Estevez,
Real-time head pose estimation on mobile platforms,
Journal of Systemics, Cybernetics and Informatics, vol. 8, pp. 56-62, 2010.

[227] A. Sobhi-Afshar, N. Kehtarnavaz, M. Akins, K. Luby-Phelps, and M. Mahendroo,
Distinguishing second harmonic generation images of mouse preterm labor via wavelet-based texture analysis,
Proceedings of IEEE ICASSP Conference, Dallas, March 2010.

[226] M. Gamadia and N. Kehtarnavaz,  
Performance metrics for auto-focus in digital and cell-phone cameras,
Proceedings of IEEE ICCE Conference, Jan 2010.

[225] M. Amin, H. Navaz, N. Kehtarnavaz, and D. Dabiri,
A systematic approach for solving large-scale problems by neural network:
open refrigerated display cases and droplet evaporation problems,
Journal of Food and Bioprocess Technology, vol. 3, pp. 276-287, 2010.

[224] R. Razlighi, N. Kehtarnavaz, and A. Nosratinia, 
Computation of image spatial entropy using quadrilateral Markov random field,  
IEEE Transactions on Image Processing, vol.18, pp. 2629-2639, Dec. 2009.

[223] D. Kim, V. Gopalakrishna, S. Guo, H. Lee, M. Torlak, N. Kehtarnavaz, A. Lobo, and P. Loizou,
On the design of a flexible stimulator for animal studies in auditory prostheses,
Proceedings of 2nd International Symposium on Applied Sciences in Biomedical and
and Communication Technologies, Slovak Republic, Nov. 2009.

[222] M. Rahman, N. Kehtarnavaz, and J. Ren, 
A hybrid face detection approach for real-time deployment on mobile devices,
Proceedings of IEEE ICIP Conference, Cairo, Nov. 2009.

[221] M. Gamadia and N. Kehtarnavaz, 
Enhanced low-light auto-focus system model in digital still and cell-phone cameras,
Proceedings of IEEE ICIP Conference, Cairo, Nov. 2009.

[220] S. Yousefi, N. Kehtarnavaz, K. Gopinath, and R. Briggs,
Two-stage registration of substructures in magnetic resonance brain images,
Proceedings of IEEE ICIP Conference, Cairo, Nov. 2009.

[219] (Editorial) M. Carlsohn and N. Kehtarnavaz,
Journal of Real-Time Image Processing,
vol. 4, pp. 301-302, Nov. 2010.

[218] (Patent) N. Kehtarnavaz and H-J. Oh, 
Automatic White Balancing via Illuminant Scoring - Autoexposure by Neural Network Mapping,
US Patent #7576797, issued August 2009.

[217] J. Ren, M. Rahman, N. Kehtarnavaz, and L. Estevez,  
Real-time head pose estimation on mobile platforms,
Proceedings of WMSCI Conference on Systemics, Cybernetics, and Informatics, Orlando, July 2009.

[216] (Editorial) N. Kehtarnavaz and M. Carlsohn,
Journal of Real-Time Image Processing,
vol. 4, pp. 107-108, June 2010.

[215] Y. Zhai, M. Yeary, S. Cheng, and N. Kehtarnavaz,   
An object tracking algorithm based on multiple model particle filtering with state partitioning,
IEEE Transactions on Instrumentation and Measurement, vol. 58, pp. 1797-1809, May 2009.

[214] M. Rahman, and N. Kehtarnavaz, 
Real-time implementation of robust face detection on mobile platforms,
 
Proceedings of IEEE ICASSP Conference, Taipei, April 2009.

[213] V. Golpalakrishna, N. Kehtarnavaz, and P. Loizou, 
Real-time PDA-based recursive Fourier transform implementation for cochlear implant applications,
 
Proceedings of IEEE ICASSP Conference, Taipei, April 2009.

[212] J. Ren and N. Kehtarnavaz,  
Fast adaptive termination mode selection for H.264 scalable video coding, 
Journal of Real-Time Image Processing, vol. 4, pp. 13-21, March 2009.

[211] R. Razlighi, and N. Kehtarnavaz,  
A comparison study of image spatial entropy,
Proceedings of SPIE Conference on Visual Communications and Image Processing, San Jose, Jan 2009.

[210] M. Gamadia, and N. Kehtarnavaz,  
Real-time implementation of single-shot passive auto focus on DM350 digital camera processor,
Proceedings of SPIE Conference on Real-Time Image and Video Processing, San Jose, Jan 2009.

[209] A. Gholipour, N. Kehtarnavaz, K. Gopinath, and R. Briggs,
Cross validation of deformable registration with field maps in functional magnetic resonance brain imaging,
IEEE Journal of Selected Topics in Signal Processing,  vol. 2, pp. 854-869, Dec. 2008.

[208] M. Rahman, and N. Kehtarnavaz,
Real-time face-priority auto focus for digital and cell-phone cameras,
IEEE Transactions on Consumer Electronics, vol. 54, pp. 1506-1513, Nov. 2008.

[207] J. Ren, N. Kehtarnavaz, and L. Estevez,
Real-time optimization of Viola-Jones face detection for mobile platforms,
Proceedings of IEEE Dallas Circuits and Systems Workshop, Oct. 2008.

[206] A. Gholipour and N. Kehtarnavaz,
Computationally efficient mutual information estimation for non-rigid image registration,
Proceedings of IEEE Conference on Image Processing, San Diego, Oct. 2008.

[205] J. Ren and N. Kehtarnavaz,
Fast adaptive early termination for mode selection in H.264 scalable video coding,
Proceedings of IEEE Conference on Image Processing, San Diego, Oct. 2008.

[204] (Editorial) M. Carlsohn and N. Kehtarnavaz,
Journal of Real-Time Image Processing,
vol. 3, pp. 231-231, Sept. 2008.

[203] O. Tsang, A. Gholipour, N. Kehtarnavaz, K. Gopinath, R. Briggs, and I. Panahi,
Comparison of tissue segmentation algorithms in neuroimage analysis software tools,
Proceedings of IEEE Conference on Engineering in Medicine and Biology, Vancouver, Aug. 2008.

[202] A. Gholipour, N. Kehtarnavaz, K. Gopinath, R. Briggs, and I. Panahi,
Average field map image template for echo-planar image analysis,
Proceedings of IEEE Conference on Engineering in Medicine and Biology, Vancouver, Aug. 2008.

[201] J. Ren, N. Kehtarnavaz, and M. Budagavi,
Computationally efficient mode selection in H.264/AVC video coding,
IEEE Transactions on Consumer Electronics,  vol. 54, pp. 877-886, May 2008.

[200] N. Kehtarnavaz, P. Loizou, and M. Rahman, 
An interactive hybrid programming approach to signals and systems laboratory,
Proceedings of IEEE ICASSP Conference, Las Vegas, April 2008.

[199] M. Rahman, N. Kehtarnavaz, and M. Gamadia,
Real-time face-based auto-focus for digital still and cell-phone cameras,
Proceedings of IEEE Southwest Symposium on Image Analysis and Interpretation, Santa Fe, March 2008.

[198] J. Ren, N. Kehtarnavaz, and M. Budagavi, 
A fast feature-assisted adaptive early termination approach to
multiple reference frames motion estimation in H.264,
Journal of Real-Time Image Processing, vol. 3, PP. 77-88, March 2008. 

[197] A. Gholipour, N. Kehtarnavaz, R. Briggs, K. Gopinath, et al.,
Validation of non-rigid registration between functional and anatomical magnetic resonance brain images,
IEEE Transactions on Biomedical Engineering, vol. 55, pp. 563-571, Feb. 2008.

[196] N. Kehtarnavaz, M. Rahman, M. Gamadia,  
Real-time implementation of face-based auto-focus on TI digital camera processor,  
TI Developer Conference Proceedings, Dallas, Feb 2008.   

[195] J. Ren, N. Kehtarnavaz, and M. Budagavi, 
A fast feature-assisted adaptive early termination approach to
multiple reference frames motion estimation in H.264 video coding of high definition sequences,
Proceedings of SPIE Conference on Real-Time Image Processing, San Jose, Jan 2008.   

[194] J. Ren and N. Kehtarnavaz,  
Using all zero block detection to increase computational efficiency of H.264 video coding,
Proceedings of SPIE Conference on Real-Time Image Processing, San Jose, Jan 2008.  

[193] Q. Peng and N. Kehtarnavaz,
A fast print-from-video technique for cell-phone cameras,
IEEE Transactions on Consumer Electronics, vol. 53, pp. 1237-1246, Nov 2007.

[192] A. Gholipour, N. Kehtarnavaz, K. Gopinath, and R. Briggs,  
A software tool for registration based distortion correction in echo planar imaging,
Proceedings of IEEE EMBS Workshop, Dallas, Nov 2007.

[191] O. Tsang, A. Gholipour, N. Kehtarnavaz, K. Gopinath, and R. Briggs,  
Comparison of brain masking techniques in functional magnetic resonance imaging,
Proceedings of IEEE EMBS Workshop, Dallas, Nov 2007.

[190] (Editorial) N. Kehtarnavaz and M. Carlsohn,
Journal of Real-Time Image Processing,
vol. 2, pp. 139-140, Oct 2007.

[189] V. Peddigari and N. Kehtarnavaz, 
Real-time predictive zoom tracking for digital still cameras,
Journal of Real-Time Image Processing, vol.2, pp. 45-54, Oct 2007.

[188] A. Gholipour, N. Kehtarnavaz, R. Briggs, and K. Gopinath,
Kullback-Leibler distance optimization for non-rigid registration of echo-planar to structural
magnetic resonance brain images, Proceedings of IEEE ICIP Conference, San Antonio, Oct 2007.

[187] R. Razlighi and N. Kehtarnavaz, 
Image blur reduction for cell-phone cameras via adaptive tonal correction,
Proceedings of IEEE ICIP Conference, San Antonio, Oct 2007.

[186] C. Gope and N. Kehtarnavaz,
Optimal partitioning of point-sets for affine invariant object matching,
Proceedings of 2007 International Conference on Image Processing, Computer Vision,
and Pattern Recognition, Las Vegas, June 2007.

[185] Q. Razlighi and N. Kehtarnavaz,
Correction of over-exposed images captured by cell-phone cameras, 
Proceedings of IEEE International Symposium on Consumer Electronics, Irving, June 2007.

[184] Q. Peng and N. Kehtarnavaz,
Towards practical print-from-video: improved pattern filtering,  
Proceedings of IEEE International Symposium on Consumer Electronics, Irving, June 2007.

[183] M. Gamadia and N. Kehtarnavaz,
Image restoration preprocessing for low-light auto-focusing in digital cameras, 
Proceedings of IEEE International Symposium on Consumer Electronics, Irving, June 2007.

[182] J. Ren and N. Kehtarnavaz,
Comparison of power consumption for motion compensation and deblocking filters in high definition video coding,
Proceedings of IEEE International Symposium on Consumer Electronics, Irving, June 2007.

[181] J. Ren and N. Kehtarnavaz,
Algorithmic optimization for H.264 deblocking filter on portable devices, 
Pr4ceedings of IEEE International Symposium on Consumer Electronics, Irving, June 2007.

[180] M. Gamadia and N. Kehtarnavaz,
Low-light auto-focus enhancement for digital and cell-phone camera image pipeline,
IEEE Transactions on Consumer Electronics, vol.53, no.2, pp. 249-257, May 2007.

[179] (Manual) M. Gamadia, V. Pediggari, and N. Kehtarnavaz, 
Auto-focus user's guide,
delivered to Texas Instruments, May 2007.  

[178] A. Lobo, P. Loizou, N. Kehtarnavaz, M. Torlak, H. Lee, A. Sharma, P. Gilley, V. Peddigari, L. Ramanna,
A PDA-based research platform for cochlear implants,
Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering, Hawaii, May 2007.   

[177] A. Gholipour, N. Kehtarnavaz, R. Briggs, M. Devous, and K. Gopinath,
Brain functional localization: A survey of image registration techniques,
IEEE Transactions on Medical Imaging, vol. 26, no. 4, pp. 427-451, April 2007.
Listed in top 100 IEEE Xplore accessed documents in April 2007.   

[176] (Editorial) M. Carlsohn and N. Kehtarnavaz,
Journal of Real-Time Image Processing,
vol. 1, pp. 171-172, April 2007.

[175] V. Peddigari, N. Kehtarnavaz, and P. Loizou,
Real-time LabVIEW implementation of cochlear implant signal processing on PDA platforms,
Proceedings of IEEE ICASSP Conference, Hawaii, April 2007.

[174] S. Adhyapak, N. Kehtarnavaz, and M. Nadin,
Stereo matching via selective multiple windows, 
SPIE Journal of Electronic Imaging, vol. 16, no.1, Jan-Mar 2007.

[173] N. Kehtarnavaz and V. Peddigari, 
Using hybrid programming in DSP lab courses,
TI Developer Conference Proceedings, Dallas, March 2007.

[172] A. Gholipour, N. Kehtarnavaz, R. Briggs, and K. Gopinath,
A field map guided approach to non-rigid registration of brain EPI to structural MRI,
Proceedings of SPIE Conference on Medical Imaging, San Diego, Feb 2007.

[171] N. Kehtarnavaz and H-J. Oh,  
Automatic White Balancing via Illuminant Scoring,
US Patent # 7,184,080, issued Feb 2007.

[170] Q. Peng and N. Kehtarnavaz,
Print-from-video: Computationally efficient outlier reduction pattern filtering,
Proceedings of SPIE Conference on Real-Time Image Processing, San Jose, Jan 2007.

[169] C. Gope and N. Kehtarnavaz,
Affine invariant comparison of point-sets using convex hulls and Hausdorff distances,
Pattern Recognition Journal, vol.40, no.1, pp. 309-320, Jan 2007.

[168] N. Kim, N. Kehtarnavaz, and M. Torlak,
LabVIEW-based software defined radio: 4-QAM modem,  
Journal of Systemics, Cybernetics, and Informatics, vol.4, no.3, 2006.

[167] A. Gholipour, N. Kehtarnavaz, K. Gopinath, R. Briggs, M. Devous, and R. Haley,
Distortion correction via non-rigid registration of functional to anatomical 
magnetic resonance brain images,
Proceedings of IEEE International Conference on Image Processing, Atlanta, Oct 2006.

[166] N. Kehtarnavaz and N. Kim,
Real-time auto white balancing for digital cameras using DWT-based scoring,
Journal of Real-Time Image Processing, vol.1, pp. 89-97, Oct 2006.

[165] (Editorial) M. Carlsohn and N. Kehtarnavaz,
Journal of Real-Time Image Processing,
vol. 1, pp. 1-2, Oct 2006.

[164] (Editorial) N. Kehtarnavaz,
Journal of Visual Communication and Image Representation
special issue on Real-Time Image Processing, vol. 17, p. 553, June 2006.

[163] A. Gholipour, N. Kehtarnavaz, K. Gopinath, R. Briggs, M. Devous, and R. Haley,
Non-rigid registration of functional to anatomical MR images using constrained optimization,
Proceedings of International Society of Magnetic Resonance in Medicine, Seattle, May 2006.

[162] (Manual) M. Gamadia, N. Kim, and N. Kehtarnavaz,
DWT-based automatic white balancing user's guide, 
delivered to Texas Instruments, May 2006.

[161] C. Gope and N. Kehtarnavaz,
DSP system design using LabVIEW and Simulink: A comparative study,
Proceedings of IEEE ICASSP Conference, Toulouse, France, May 2006.

[160] M. Gamadia and N. Kehtarnavaz,
A real-time continuous automatic focus algorithm for digital cameras,
Proceedings of IEEE SSIAI Symposium, Denver, March 2006.

[159] N. Kehtarnavaz and M. Gamadia, 
Digital camera image pipeline: Algorithm improvements,
TI Developer Conference Proceedings, Dallas, March 2006.

[158] N. Kehtarnavaz, N. Kim, and M. Gamadia,
Real-time auto white balancing using DWT-based multi-scale clustering,
Proceedings of SPIE Conference on Real-Time Image Processing, San Jose, Jan 2006.  

[157] V. Peddigari and N. Kehtarnavaz,
A relational approach to zoom tracking for digital still cameras,
IEEE Transactions on Consumer Electronics, vol. 51, pp. 1051-1059, Nov. 2005.

[156] N. Kim and N. Kehtarnavaz,
DWT-based scene-adaptive color quantization, special issue of Journal of Real-Time
Imaging on Multi-dimensional Image Processing, vol. 11, pp. 443-453, Oct. 2005.

[155] C. Gope, N. Kehtarnavaz, and D. Nair,
Neural network classification of EEG signals using time-frequency representation,
Proceedings of the International Joint Conference on Neural Networks, Montreal, Aug. 2005.
Received best student poster award.

[154] A. Gholipour, N. Kehtarnavaz, K. Gopinath, R. Briggs, M. Devous, and R. Haley,  
Examining registration of functional to anatomical magnetic resonance images in
studying brain function structure relationship,
Abstract Book of the Annual Computational Neuroscience Meeting, Madison, July 2005.

[153] N. Kim, N. Kehtarnavaz, M. Torlak, and S. McCaslin,
LabVIEW
-based Software-defined Radio: 4-QAM Modem,  Proceedings of 9th World
Multi-Conference on Systemics, Cybernetics, and Informatics (vol. II), Orlando, July 2005.
Received best paper of the Communication and Network Systems session.

[152] S. Adhyapak, N. Kehtarnavaz, N. Kim, and A. Moriat,
Real-time Software implementation of MP3 Player using LabVIEW, Proceedings of 9th World
Multi-Conference on Systemics, Cybernetics, and Informatics (vol. V), Orlando, July 2005.

[151] (Manual) V. Peddigari and N. Kehtarnavaz,
Generating depth maps for digital still cameras user's guide, 
delivered to Texas Instruments, May 2005.

[150] (Editorial) P. Laplante and N. Kehtarnavaz,
Journal of Imaging Science and Technology
special issue on Real-Time Imaging, vol. 2, p. 1, March 2005.

[149] V. Peddigari, M. Gamadia, and N. Kehtarnavaz,
Real-time implementation issues in passive auto-focusing for digital still cameras,
Journal of Imaging Science and Technology, vol. 49, pp. 114-123, March 2005.

[148] N. Kehtarnavaz and N. Kim, 
Digital signal processing system-level design using LabVIEW and TMS320C6000 DSPs,
TI Developer Conference Proceedings, Dallas, Feb 2005.

[147] P. Ainsleigh, S. Greineder, and N. Kehtarnavaz,
Classification of nonstationary narrowband signals using segmented chirp features and hidden Gauss-Markov models,
IEEE Transactions on Signal Processing, vol. 53, pp. 147-157, Jan 2005.

[146] C. Gope, N. Kehtarnavaz, G. Hillman, and B. Wursig,
An affine invariant curve matching method for photo-identification of marine mammals,
Pattern Recognition Journal, vol. 38, pp. 125-132, Jan 2005.
Listed in Science Direct top 25 articles (Oct-Dec 2004)
Featured in online Nature magazine (Nov 2004)

[145] V. Peddigari, N. Kehtarnavaz, S-Y. Lee, G. Cook,
Real-time implementation of zoom tracking on TI DM processor,
Proceedings of the SPIE Conference on Real-Time Imaging, San Jose, Jan 2005.

[144] (Manual) M. Gamadia and N. Kehtarnavaz,
Implementation of continuous AF on TI digital media platform user's guide,
delivered to Texas Instruments, Dec. 2004.

[143] C. Gope, N. Kehtarnavaz, and G. Hillman,
Zernike moment invariants based photo-identification using Fisher discriminant model,
Proceedings of IEEE Conference on Engineering in Medicine and Biology, San Francisco, Sept 2004.

[142] N. Kehtarnavaz, N. Kim, and I. Panahi,
Digital signal processing system design: using LabVIEW and TMS320C6000,
Proceedings of IEEE 3rd Signal Processing Workshop, New Mexico, Aug 2004.

[141] N. Kehtarnavaz, C. Chandan, G. Hillman, and B. Wursig,
Photo-identification of marine mammals using curve and patch matching techniques,
Proceedings of World Automation Congress, Spain, June 2004.

[140] A. Garcia-Uribe, N. Kehtarnavaz, G. Marquez, V. Prieto, M. Duvic, and L. Wang,
Skin cancer detection by spectroscopic oblique-incidence reflectometry:
classification and physiological origins,
Journal of Applied Optics, vol. 43, pp. 2643-2650, May 2004.

[139] (Manual) M. Gamadia, V. Peddigari, and N. Kehtarnavaz,
RSA algorithm abstraction: automatic focus developer's guide,
delivered to Texas Instruments, May 2004.

[138] (Manual) V. Peddigari, M. Gamadia, and N. Kehtarnavaz,
RSA algorithm abstraction: automatic focus user's guide,
delivered toTexas Instruments, May 2004.

[137] N. Kehtarnavaz and N. Kim,
TMS320C6000 DSP-Based Real-Time DSP Courses: Migration from EVM to DSK,
TI Developer Conference Proceedings, Houston, Feb 2004.

[136] M. Gamadia, V. Peddigari, N. Kehtarnavaz, S-Y. Lee, G. Cook,
Real-time implementation of auto focus on the TI DSC processor,
Proceedings of the SPIE Conference on Real-Time Imaging, San Jose, Jan 2004.

[135] C. Chandan, N. Kehtarnavaz, G. Hillman, B. Wursig,
An affine point-set and line invariant algorithm for photo-identification of gray whales,
Proceedings of the SPIE Conference on Image Processing: Algorithms and Systems, San Jose, Jan 2004.

[134] N. Kehtarnavaz, H-J. Oh, and Y. Yoo,
Color filter array interpolation using color correlation and directional derivatives,
SPIE Journal of Electronic Imaging, vol. 12, pp. 621-632, Oct. 2003.

[133] N. Kim, N. Kehtarnavaz, M. Yeary, and S. Thornton,
DSP based neural network hierarchical modulation signal classification,
IEEE Transactions on Neural Networks, vol. 14, pp. 1065-1071, Sept. 2003.

[132] N. Kehtarnavaz, V. Peddigari, C. Chandan, W. Syed, G. Hillman, B. Wursig,
Photo-identification of humpback and gray whales using affine moment invariants,
Proceedings of 13th Scandinavian Conference on Image Analysis, Sweden, July 2003.

[131] N. Kehtarnavaz and H-J. Oh,
Development and real-time implementation of a rule-based auto-focus algorithm,
Journal of Real-Time Imaging, vol. 9, pp. 197-203, June 2003.

[130] G. Hillman, B. Wursig, G. Gailey, N. Kehtarnavaz, et al.,
Computer-assisted photo-identification of individual marine vertebrates: a multi-species system,
Journal of Aquatic Mammals, vol. 29, pp. 117-123, 2003.

[129] K. Gunnam, D. Hughes, J. Junkins, and N. Kehtarnavaz,
A vision based DSP embedded navigation sensor,
IEEE Sensors Journal, vol.2, pp. 428-442, Oct 2002.

[128] N. Kehtarnavaz, H-J Oh, and Y. Yoo,
Development and real-time implementation of auto white balancing scoring algorithm,
Journal of Real-Time Imaging, vol.8, pp. 379-386, Oct. 2002.

[127] B. Araabi, N. Kehtarnavaz, and C. Lucas,
Restrictions imposed by fuzzy extension of relations and set functions,
Journal of Intelligent and Fuzzy Systems, vol.11, pp.9-22, Oct 2002.

[126] G. Hillman, B. Wursig, G. Gailey, N. Kehtarnavaz, et al.,
Finscan: a computer system for photographic identification of marine mammals,
Proceedings of the 24th EMBS International Conference, Houston, Oct. 2002.

[125] A. Garcia-Uribe, N. Kehtarnavaz, L. Wang, et al.,
Skin cancer detection using spectroscopic oblique-incidence reflectometry,
Proceedings of the 24th EMBS International Conference, Houston, Oct. 2002.

[124] K. Gunnam, D. Hughes, J. Junkins, and N. Kehtarnavaz,
A DSP embedded optical navigation system,
Proceedings of the Sixth IEEE International Conference on Signal Processing, China, Aug 2002.

[123] S. Baeg and N. Kehtarnavaz,
Classification of breast mass abnormalities using denseness and architectural distortion,
Electronic Letters on Computer Vision and Image Analysis, vol.1, pp.1-20,
http://www.cvc.uab.es/elcvia, Aug 2002.

[122] P. Ainsleigh, N. Kehtarnavaz, and R. Streit,
Hidden Gauss Markov models for signal classification,
IEEE Transactions on Signal Processing, vol.50, pp. 1355-1367, June 2002.

[121] N. Kehtarnavaz, A. Garcia-Uribe, L. Wang,
Classification of skin abnormality images obtained by oblique-incidence diffuse reflectance spectroscopy,
Proceedings of International Conference on Mathematics and Engineering Techniques
in Medicine and Biological Sciences, Las Vegas, June 2002.

[120] B. Araabi, N. Kehtarnavaz, G. Hillman,
Evaluation of algebraic projective invariants of point sets for identification of 3D objects,
Proceedings of International Conference on Imaging Science, Systems, and Technology, Las Vegas, June 2002.

[119] N. Kim, N. Kehtarnavaz, S. Brown, and T. McKinney,
Hierarchical classification of modulation signals,
Proceedings of World Automation Congress, Orlando, June 2002.

[118] B. Araabi, N. Kehtarnavaz, M. Yeary, G. Hillman, B. Wursig,
Locating an affine/projective invariant identifier patch on an image,
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, Santa Fe, April 2002.

[117] M. Mehrubeoglu, N. Kehtarnavaz, G. Marquez, and L. Wang,
Skin lesion classification using reflectance spectroscopic imaging with oblique incidence,
Journal of Applied Optics, vol.41, pp. 182-192, Jan 2002.

[116] N. Kehtarnavaz, H-J Oh, I. Shidate, Y. Yoo, R. Talluri,
A new approach to auto white balancing and auto exposure for digital still cameras,
Proceedings of the SPIE Conference on Sensors, Cameras, and Systems, San Jose, Jan 2002.

[115] H-J Oh, N. Kehtarnavaz, Y.Yoo, S. Reis, and R. Talluri,
Real-time implementation of auto white balancing and auto exposure on the TI DSC platform,
Proceedings of the SPIE Conference on Real-Time Imaging, San Jose, Jan 2002.

114 publications prior to joining UTD in 2002


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