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Visual data rate gain for wavelet foveated image coding

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2 Author(s)
Hyungkeuk Lee ; Lab. of Wireless Network, Yonsei Univ., Seoul, South Korea ; Sanghoon Lee

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.

Published in:

Image Processing, 2005. ICIP 2005. IEEE International Conference on  (Volume:3 )

Date of Conference:

11-14 Sept. 2005

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