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
Volume3
DOIs
Publication statusPublished - 2005 Dec 1
EventIEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy
Duration: 2005 Sep 112005 Sep 14

Other

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

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Lee, H., & Lee, S. (2005). Visual data rate gain for wavelet foveated image coding. In IEEE International Conference on Image Processing 2005, ICIP 2005 (Vol. 3, pp. 41-44). [1530323] https://doi.org/10.1109/ICIP.2005.1530323