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 language | English |
|---|---|
| Pages (from-to) | 553-556 |
| Number of pages | 4 |
| Journal | IEEE Signal Processing Letters |
| Volume | 13 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 2006 Sep 1 |
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All Science Journal Classification (ASJC) codes
- Signal Processing
- Electrical and Electronic Engineering
- Applied Mathematics
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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 journal › Article
TY - JOUR
T1 - Visual entropy gain for wavelet image coding
AU - Lee, Hyungkeuk
AU - Lee, Sanghoon
PY - 2006/9/1
Y1 - 2006/9/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33747804956&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33747804956&partnerID=8YFLogxK
U2 - 10.1109/LSP.2006.874464
DO - 10.1109/LSP.2006.874464
M3 - Article
AN - SCOPUS:33747804956
VL - 13
SP - 553
EP - 556
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
SN - 1070-9908
IS - 9
ER -