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Visual masking model for perceptual color image compression

Authors: Christophe Charrier; Thierry Eude;

Visual masking model for perceptual color image compression

Abstract

The quality of compressed images can be remarkabley improved if the dictates of the Human Visual System (HVS) requirements are followed. To achieve this goal, our strategy is to exploit human visual masking effect using a subband decomposition. A combination of both intra channel and inter channel masking property is then performed. This scheme exploits the lowpass character of the perceptual masking for natural color images in estimating the amount of available masking. Results obtained show an improvement of the quality of reconstructed color images compared to existing compression schemes like standard JPEG2000.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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