Paper
16 September 1994 Design of psychovisual quantizers for a visual subband image coding
Author Affiliations +
Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185903
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States
Abstract
In order to specify the optimal psychovisual quantizer associated to a given visual subband decomposition scheme, a new methodology has been developed. Psychovisual experiments based on the visibility of the quantization noise, have been conducted. The complex signals used, have been characterized by the local band-limited contrast. The main finding of this study is that the quantizers are, in the chosen space contrast, of a linear type. The quantization intervals contrast, obtained with a given observer, are of 0.039 for the subband called III-1 (radial selectivity 1.5 cy/d degree(s) to 5.7 cy/d degree(s), angular selectivity -22.5 d degree(s) to 22.5) 0.031 for the subband called IV-1 (radial selectivity 5.7 cy/d degree(s) to 14.1 cy/d degree(s), angular selectivity -15 d degree(s) to 15 d degree(s)) 0.117 for the subband called V-1 (radial selectivity 14.1 cy/d degree(s) to 28.2 cy/d degree(s), angular selectivity -15 d degree(s) to 15 d degree(s)). To evaluate the importance of the `angular' aspect in this approach, further measurements have been made with the subband IV-2 (radial selectivity 5.7 cy/d degree(s) to 14.1 cy/d degree(s), angular selectivity 15 d degree(s) to 30 d degree(s)). The linearity is also observed and the quantization interval contrast, for the same observer, is of 0.122.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abdelhakim Saadane, Hakim Senane, and Dominique Barba "Design of psychovisual quantizers for a visual subband image coding", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185903
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Cited by 7 scholarly publications.
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KEYWORDS
Quantization

Visualization

Visibility

Electronic filtering

Image compression

Image visualization

Signal detection

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