Alan C. Bovik

Biography

Professor Al Bovik (HonFRPS) holds the Cockrell Family Regents Endowed 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, the Wireless Networking and Communication Group (WNCG), the Oden Institute, and the Institute for Neuroscience. His research interests include digital television, digital photography, visual perception, social media, and image and video processing,

He has published over 900 technical articles in these areas and holds several U.S. patents. His publications have been cited more than 100,000 times in the literature, his H-index is above 110, and he is listed as a Highly-Cited Researcher by The Web of Science Group. His several books include The Handbook of Image and Video Processing (Academic Press, 2000, 2005), Modern Image Quality Assessment (2006), and the companion volumes The Essential Guides to Image and Video Processing (Academic Press, 2009).

Bovik is credited with the development of order statistic filters, the image modulation model, computational modeling of visual texture perception, theories of foveated image processing, and for widely used and disseminated image quality and video quality computational models and measurement tools that are used throughout the television and cinematic industries. 

His contributions include the invention or co-invention of the Emmy Award-winning Structural Similarity (SSIM) video quality measurement tool, the MOVIE Index and the Visual Information Fidelity (VIF) algorithms, all reference models that predict human perception of image quality or distortion; the RRED indices, which are a family of reduced reference image and video quality prediction models, and BRISQUE, BLIINDS, DIIVINE and NIQE, which are a new breed of image and video quality prediction models that produce accurate predictions of human judgments of picture quality without the benefit of any reference information. His picture and video quality models SSIM, MS-SSIM, VIF, MOVIE, BRISQUE, and NIQE currently process a significant percentage of all bits transmitted both in the United States as well as globally, and are implemented in commercial cable, satellite, broadcast, streaming video, television, home cinema / disc, and social media quality monitoring and control workflows around the world.

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