Visual entropy gain for wavelet image coding

Hyungkeuk Lee, Sanghoon Lee

Research output: Contribution to journalArticle

25 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)553-556
Number of pages4
JournalIEEE Signal Processing Letters
Volume13
Issue number9
DOIs
Publication statusPublished - 2006 Sep 1

Fingerprint

Image Coding
Image coding
Wavelets
Entropy
Channel capacity
Throughput
Error Resilience
Human Visual System
Channel Capacity
Wavelet Coefficients
Vision
Coding

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Lee, Hyungkeuk ; Lee, Sanghoon. / Visual entropy gain for wavelet image coding. In: IEEE Signal Processing Letters. 2006 ; Vol. 13, No. 9. pp. 553-556.
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Visual entropy gain for wavelet image coding. / Lee, Hyungkeuk; Lee, Sanghoon.

In: IEEE Signal Processing Letters, Vol. 13, No. 9, 01.09.2006, p. 553-556.

Research output: Contribution to journalArticle

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