DocumentCode
65942
Title
A Retina-Based Perceptually Lossless Limit and a Gaussian Foveation Scheme With Loss Control
Author
da Costa, Andre Luiz N. Targino ; Do, Minh N.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
Volume
8
Issue
3
fYear
2014
fDate
Jun-14
Firstpage
438
Lastpage
453
Abstract
In this paper, we propose a new limit that promises theoretically achievable data reduction ratios up to approximately 9:1 with no perceptual loss in typical scenarios. Also, we introduce a novel Gaussian foveation scheme that provides experimentally achievable gains up to approximately 2 times the compression ratio of typical compression schemes with less perceptual loss than in typical transmissions. Both the proposed limit and foveation scheme shares the same background material: a model of image projection onto the retina; a model of cones distribution; and, subsequently, a proposed pointwise retina-based constraint called pixel efficiency. Quantitatively, the lattermost is globally processed to reveal the perceptual efficiency of a display. Analytical results indicate that in general the perceptual efficiency of displays are low for typical image sizes and viewing distances. Qualitatively, the pixel efficiency is used together with a lossy parameter to locally control the spatial resolution of a foveated image. Practical results show that proper use of the lossy parameter in the foveation filtering can increase the subjective quality of images.
Keywords
Gaussian processes; data compression; image coding; image representation; image resolution; visual perception; Gaussian foveation scheme; compression ratio; cones distribution; data reduction ratios; foveated image; foveation filtering; image projection; image quality; image sizes; loss control; lossy parameter; perceptual efficiency; pixel efficiency; pointwise retina-based constraint; retina-based perceptually lossless limit; spatial resolution; viewing distances; Bit rate; Image coding; Materials; Retina; Spatial resolution; Visualization; Compression; foveation; image processing; perception;
fLanguage
English
Journal_Title
Selected Topics in Signal Processing, IEEE Journal of
Publisher
ieee
ISSN
1932-4553
Type
jour
DOI
10.1109/JSTSP.2014.2315716
Filename
6783810
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