Visual data rate gain for wavelet foveated image coding

Hyungkeuk Lee, Sanghoon Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Wavelet image coding exhibits a robust error resilience performance by utilizing the naturally layered bitstream construction over a band-limited channel. In this paper, a closed form of the visual entropy is defined based on a visual weight over the wavelet domain, which is characterized by the HVS (human vision system) over the frequency and spatial domains. This visual weight is then utilized as a criterion for determining the coding order of wavelet coefficients and the resulting improved visual quality is demonstrated. In terms of visual entropy, a transmission gain of up to 20 % can be obtained at a normalized channel throughput of about 0.3.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing 2005, ICIP 2005
Pages41-44
Number of pages4
DOIs
Publication statusPublished - 2005
EventIEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy
Duration: 2005 Sep 112005 Sep 14

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume3
ISSN (Print)1522-4880

Other

OtherIEEE International Conference on Image Processing 2005, ICIP 2005
Country/TerritoryItaly
CityGenova
Period05/9/1105/9/14

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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