Paper
14 March 2007 New vistas in image and video quality assessment
Author Affiliations +
Proceedings Volume 6492, Human Vision and Electronic Imaging XII; 649202 (2007) https://doi.org/10.1117/12.721109
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
In this Keynote Address paper, we review early work on Image and Video Quality Assessment against the backdrop of an interpretation of image perception as a visual communication problem. As a way of explaining our recent work on Video Quality Assessment, we first describe our recent successful advances on QA algorithms for still images, specifically, the Structural SIMilarity (SSIM) Index and the Visual Information Fidelity (VIF) Index. We then describe our efforts towards extending these Image Quality Assessment frameworks to the much more complex problem of Video Quality Assessment. We also discuss our current efforts towards the design and construction of a generic and publicly-available Video Quality Assessment database.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kalpana Seshadrinathan and Alan C. Bovik "New vistas in image and video quality assessment", Proc. SPIE 6492, Human Vision and Electronic Imaging XII, 649202 (14 March 2007); https://doi.org/10.1117/12.721109
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CITATIONS
Cited by 11 scholarly publications.
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KEYWORDS
Video

Image quality

Distortion

Databases

Visualization

Image processing

Image transmission

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