Button to scroll to the top of the page.
Bovik, Alan

Alan C Bovik

Professor, Affiliated Faculty, Oden Institute
Department of Electrical and Computer Engineering, Oden Institute

Cockrell Family Regents Chair in Engineering #3


Phone: 512-471-5370

Office Location
UTA 7.204

Postal Address
AUSTIN, TX 78701

Al Bovik holds the Cockrell Family Endowed Regents Chair in Engineering at The University of Texas at Austin, where he is Director of the Laboratory for Image and Video Engineering (LIVE). He is a faculty member in the Department of Electrical and Computer Engineering and the Institute for Neuroscience. His research interests include image and video processing, digital television and digital cinema, computational vision, and visual perception. He has published over 750 technical articles in these areas and holds several U.S. patents. His publications have been cited more than 45,000 times in the literature, his current H-index is about 75, and he is listed as a Highly-Cited Researcherby Thompson Reuters. His several books include the companion volumes The Essential Guides to Image and Video Processing (Academic Press, 2009).

Dr. Bovik received Television’s highest honor, an individual Primetime Emmy Award for Outstanding Achievement in Engineering Development from the Academy of Television Arts and Sciences (The Television Academy) in October 2015, for his work on the development of video quality prediction models which have become standard tools in broadcast and post-production houses throughout the television industry. He has also received a number of major awards from the IEEE Signal Processing Society, including: the Society Award (2013); the Technical Achievement Award (2005); the Best Paper Award (2009); the Signal Processing Magazine Best Paper Award(2013); the Education Award (2007); the Meritorious Service Award (1998) and (co-author) the Young Author Best Paper Award (2013). He also was named recipient of the Honorary Member Award of the Society for Imaging Science and Technology for 2013, received the SPIE Technology Achievement Award for 2012, and was theIS&T/SPIE Imaging Scientist of the Year for 2011. He is also a recipient of the Joe J. King Professional Engineering Achievement Award (2015) and the Hocott Award for Distinguished Engineering Research (2008), both from the Cockrell School of Engineering at The University of Texas at Austin, the Distinguished Alumni Award from the University of Illinois at Champaign-Urbana (2008), the IEEE Third Millennium Medal (2000) and two journal paper awards from the Pattern Recognition Society. He is a Fellow of the IEEE, the Optical Society of America (OSA), and the Society of Photo-Optical and Instrumentation Engineers (SPIE), and is a member of both the Television Academy (ATAS) and the National Academy of Television Arts and Sciences (NATAS). He co-founded and was the longest-serving Editor-in-Chief of the IEEE Transactions on Image Processing (1996-2002), created and served as the first General Chair of the IEEE International Conference on Image Processing, held in Austin, Texas, in November, 1994, along with numerous other professional society activities, including: Board of Governors, IEEE Signal Processing Society, 1996-1998; Editorial Board, The Proceedings of the IEEE, 1998-2004; and Series Editor for Image, Video, and Multimedia Processing, Morgan and Claypool Publishing Company, 2003-present. His was also the General Chair of the 2014 Texas Wireless Symposium, held in Austin in November of 2014.

Dr. Bovik is a registered Professional Engineer in the State of Texas and is a frequent consultant to legal, industrial and academic institutions.

Human Perception based Visual Analysis

Image and Video Quality Assessment
Anish Mittal, Che-Chun Su, Lark Kwon Choi, Dr. Michele Saad, Dr. Ming-Jun Chen, 
Dr. Anush K. Moorthy, Dr. Rajiv Soundararajan, Dr. Kalpana Seshadrinathan, Prof. Al Bovik 

3D Natural Scene Statistics 
Che-Chun Su, Dr. Yang Liu, Prof. Larry Cormack, Prof. Al Bovik 

Perceptual Quality Assessment of Authentically Distorted Images NEW! 
Deepti Ghadiyaram and Prof. Al Bovik 

Infrared Image Quality Assessment NEW! 
Todd Goodall and Prof. Al Bovik 

Perceptual Fog Density Assessment and Image Defogging NEW! 
Lark Kwon Choi and Prof. Al Bovik 

Flicker Perception on Digital Videos NEW! 
Lark Kwon Choi and Prof. Al Bovik

L. K. Choi, A. C. Bovik, and L. K. Cormack, "The effect of eccentricity and spatiotemporal energy on motion silencing," Journal of Vision , vol. 16, no. 5, pp. 1-13, March, 2016.

A. Mittal, M. A. Saad, and A. C. Bovik, "A Completely Blind Video Integrity Oracle," IEEE Transactions on Image Processing , vol. 25, no. 1, pp. 289-300, January, 2016.

L. K. Choi, J. You, and A. C. Bovik, "Referenceless Prediction of Perceptual Fog Density and Perceptual Image Defogging," IEEE Transactions on Image Processing , vol. 24, no. 11, pp. 3888-3901, November, 2015.

L. K. Choi, L. K. Cormack, and A. C. Bovik, "Motion silencing of flicker distortions on naturalistic videos," Signal Processing: Image Communication , vol. 39, pp. 328-341, March, 2015.

F. Isikdogan, A.C. Bovik, and P. Passalacqua, "Automatic Channel Network Extraction From Remotely Sensed Images by Singularity Analysis," IEEE Geoscience and Remote Sensing Letters , vol. 12, no. 11, pp. 2218-2221, January, 2015.

C. C Su, L. K. Cormack, and A. C. Bovik, "Bayesian depth estimation from monocular natural images," IEEE Transactions on Pattern Analysis and Machine Intelligence , revised, January, 2015.

C. C Su, L. K. Cormack, and A. C. Bovik, "Closed-Form Correlation Model of Oriented Bandpass Natural Images," IEEE Signal Processing Letters , vol. 22, no. 1, January, 2015.

M. H. Pinson, L. K. Choi, and A. C. Bovik, "Temporal Video Quality Model Accounting for Variable Frame Delay Distortions," IEEE Transactions of Broadcasting , vol. 60, no. 4, pp. 637-649, December, 2014.

S. K. Gokce, S. X. Guo, N. Ghorashian, W. N. Everett, T. Jarrell, A. Kottek, A. C. Bovik, and A. Ben-Yakar, "A Fully Automated Microfluidic Femtosecond Laser Axotomy Platform for Nerve Regeneration Studies in C. elegans," PLOS One , December, 2014.

S. Gunasekar, J. Ghosh, and A. C. Bovik, "Face Detection on Distorted Images Augmented by Perceptual Quality-Aware Features," IEEE Transactions on Information Forensics and Security , vol. 9, no. 12, December, 2014.

T. Oh, J. Park, K. Seshadrinathan, S. Lee, and A. C. Bovik, "No-Reference Sharpness Assessment of Camera-Shaken Images by Analysis of Spectral Structure," IEEE Transactions on Image Processing , vol. 23, no. 12, December, 2014.

Q. Sang, X. Wu, C. Li, and A. C. Bovik, "Blind image quality assessment using a reciprocal singular value curve," Signal Processing: Image Communication , vol. , no. , December, 2014.

W. Xue, X. Mou, L. Zhang, A. C. Bovik, and X. Feng, "Blind Image Quality Assessment Using Joint Statistics of Gradient Magnitude and Laplacian Features," IEEE Transactions on Image Processing , vol. 23, no. 11, December, 2014.

L. K. Choi, A. C. Bovik, and L. K. Cormack, "Spatiotemporal flicker detector model of motion silencing," Perception , vol. 43, pp. 1286-1302, December, 2014.

M.J. Chen, A.C. Bovik and L.K. Cormack, "Study of distortion conspicuity on stereoscopically viewed 3D images," Journal of the Society for Information Display , January, 2014.

T. Kim, J. Kang, S. Lee and A.C. Bovik, "Multimodal Interactive Continuous Scoring of Subjective 3D Video Quality of Experience," IEEE Transactions on Multimedia , January, 2014.

C. Chen, L.K. Choi, G. de Veciana, C. Caramanis, R.W. Heath, Jr. and A.C. Bovik, "A model of the time-varying subjective quality of HTTP video streams," IEEE Transactions on Image Processing , January, 2014.

Q.B. Sang, H.X. Qi, X.J. Wu, C.F. Li and A.C. Bovik, "No-reference image blur index using singular value curve," Visual Communications and Image Representation , January, 2014.

S. Lee, I. Lee, S. Kim, S. Lee and A.C. Bovik, "A pervasive network control algorithm for multi-camera networks," IEEE Sensors Journal , January, 2014.

Y. Zhang, A.K. Moorthy, D.M. Chandler and A.C. Bovik, "C-DIIVINE: No-reference image quality assessment based on local magnitude and phase statistics of natural scenes,"Signal Processing: Image Communication , January, 2014.

J. Park, S. Lee and A.C. Bovik, "3D visual discomfort prediction based on physiological optics of binocular vision and foveation," IEEE Journal on Selected Topics in Signal Processing , January, 2014.