Visual entropy gain for wavelet image coding

Hyungkeuk Lee, Sanghoon Lee

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)


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
Issue number9
Publication statusPublished - 2006 Sep

Bibliographical note

Funding Information:
Manuscript received August 28, 2005; revised February 24, 2006. This work was supported by the Korea Research Foundation under Grant KRF-2004-003-D00225. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Alex B. Gershman. The authors are with C703, Wireless Network Laboratory, Yonsei University, Seoul 120-749, Korea (e-mail:; Digital Object Identifier 10.1109/LSP.2006.874464

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics


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