Alan Conrad Bovik
The work of Alan Conrad Bovik has combined principles of visual neuroscience with those of video engineering, allowing him to create groundbreaking algorithms for modeling image texture, improving image appearance, and measuring video quality. He laid the foundations of modern visual quality measurement systems by conducting large-scale human studies of image and video quality and used them to create algorithms that accurately predict perceptual quality. These algorithms model the way the brain efficiently processes visual information, how distortions alter the statistics of videos, and how and to what degree humans perceive visual distortions. Today, his video quality measurement tools are used to monitor and control the quality of a substantial percentage of digital streaming videos transmitted via broadcast, satellite, the Internet, and the Cloud, allowing hundreds of millions of viewers daily to enjoy perceptually optimized viewing experiences. In 2015, he received a Primetime Engineering Emmy Award for his work on the globally popular Structural Similarity model, or SSIM.
An IEEE Fellow, Bovik is the Cockrell Family Regents Endowed Chair Professor at The University of Texas, Austin, TX, USA.