Alan Bovik

Education

He was educated at the University of Illinois at Urbana Champaign (Doctor of Philosophy 1984).

Career

He has made numerous fundamental contributions to the fields of Digital Image Processing, Digital Video Processing, Digital Television, Digital Cinema, and Computational Visual Perception. He is well known for his work on image processing, low-level vision, natural scene modeling, image quality and video quality. He has published more than 700 articles in these areas.

His work has been cited in the scientific and engineering literature nearly 50,000 times according to Google Scholar.

He is a Fellow of the Institute of Electrical and Electronics Engineers, a Fellow of the Optical Society of America, and a Fellow of the Society of Photo-Optical and Instrumentation Engineers (International Society for Optical Engineering). He was named a Distinguished Alumnus of the University of Illinois at Champaign-Urbana in 2008.

He is credited with the development of order statistic filters, the image modulation model, theories of foveated image processing, and in particular image quality and video quality. His work in these areas has been recognized by several Institute of Electrical and Electronics Engineers Signal Processing Society best journal paper awards.

Achievements

• He received a Primetime Emmy Award for Outstanding Achievement in Engineering Development in 2015 (Primetime Emmy Engineering Award), for the development of video quality tools that are used throughout the Television industry. He has also received a number of major awards from the Institute of Electrical and Electronics Engineers Signal Processing Society, including: the "Society Award" (2013), the Education Award (2007). The Technical Achievement Award (2005), the Distinguished Lecturer Award (2000). And the Meritorious Service Award (1998). He also won the Society for Photo-Optical and Instrumentation Engineers (International Society for Optical Engineering) Technical Achievement Award (2012) and Honorary Membership in the Society for Imaging Science and Technology ( Instruction Section&T) (2011). His contributions include the invention or co-invention of the Emmy Award-winning Structural Similarity (SSIM) index, the MOVIE Index and the Visual Information Fidelity (VIF) index, all full 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 model that produce highly accurate predictions of human image quality judgments without the benefit of any reference information.