DocumentCode :
1122062
Title :
Visual Entropy Gain for Wavelet Image Coding
Author :
Lee, Hyungkeuk ; Lee, Sanghoon
Author_Institution :
Wireless Network Lab., Yonsei Univ., Seoul
Volume :
13
Issue :
9
fYear :
2006
Firstpage :
553
Lastpage :
556
Abstract :
Wavelet image coding exhibits a robust error resilience performance by utilizing a naturally layered bitstream construction over a band-limited channel. In this letter, a new measure that appears to provide a better assessment of visual entropy for comparing and evaluating progressive image coders is defined based on a visual weight over the wavelet domain. This visual weight is characterized by the human visual system (HVS) over the frequency and spatial domains and is then utilized as a criterion for determining the coding order of wavelet coefficients, resulting in improved visual quality. A transmission gain, which is expressed by visual entropy, of up to about 23% can be obtained at a normalized channel throughput of about 0.3. In accordance with the subjective visual quality, a relatively high gain can be obtained at a low channel capacity
Keywords :
bandlimited communication; channel capacity; channel coding; entropy codes; frequency-domain analysis; image coding; wavelet transforms; HVS; band-limited channel; channel capacity; frequency domain analysis; human visual system; layered bitstream construction; spatial domain analysis; visual entropy; wavelet image coding; Channel capacity; Entropy; Humans; Image coding; Resilience; Robustness; Throughput; Visual system; Wavelet coefficients; Wavelet domain; Foveation; human visual system; visual entropy; visual entropy gain; wavelet image coding;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2006.874464
Filename :
1673418
Link To Document :
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