Video quality assessment using a statistical model of human visual speed perception
JOSA A, Vol. 24, Issue 12, pp. B61-B69 (2007)
http://dx.doi.org/10.1364/JOSAA.24.000B61
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Abstract
Motion is one of the most important types of information contained in natural video, but direct use of motion information in the design of video quality assessment algorithms has not been deeply investigated. Here we propose to incorporate a recent model of human visual speed perception [ Nat. Neurosci. 9, 578 (2006) ] and model visual perception in an information communication framework. This allows us to estimate both the motion information content and the perceptual uncertainty in video signals. Improved video quality assessment algorithms are obtained by incorporating the model as spatiotemporal weighting factors, where the weight increases with the information content and decreases with the perceptual uncertainty. Consistent improvement over existing video quality assessment algorithms is observed in our validation with the video quality experts group Phase I test data set.
© 2007 Optical Society of America
OCIS Codes
(100.2960) Image processing : Image analysis
(110.3000) Imaging systems : Image quality assessment
(330.4060) Vision, color, and visual optics : Vision modeling
(330.5510) Vision, color, and visual optics : Psychophysics
History
Original Manuscript: March 22, 2007
Revised Manuscript: August 7, 2007
Manuscript Accepted: August 7, 2007
Published: September 28, 2007
Virtual Issues
Vol. 3, Iss. 1 Virtual Journal for Biomedical Optics
Citation
Zhou Wang and Qiang Li, "Video quality assessment using a statistical model of human visual speed perception," J. Opt. Soc. Am. A 24, B61-B69 (2007)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-24-12-B61
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