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TMM
2002

Foveated video quality assessment

9 years 1 months ago
Foveated video quality assessment
Most image and video compression algorithms that have been proposed to improve picture quality relative to compression efficiency have either been designed based on objective criteria such as signal-to-noise-ratio (SNR) or have been evaluated, post-design, against competing methods using an objective sample measure. However, existing quantitative design criteria and numerical measurements of image and video quality both fail to adequately capture those attributes deemed important by the human visual system, except, perhaps, at very low error rates. We present a framework for assessing the quality of and determining the efficiency of foveated and compressed images and video streams. Image foveation is a process of nonuniform sampling that accords with the acquisition of visual information at the human retina. Foveated image/video compression algorithms seek to exploit this reduction of sensed information by nonuniformly reducing the resolution of the visual data. We develop unique algor...
Sanghoon Lee, Marios S. Pattichis, Alan C. Bovik
Added 23 Dec 2010
Updated 23 Dec 2010
Type Journal
Year 2002
Where TMM
Authors Sanghoon Lee, Marios S. Pattichis, Alan C. Bovik
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