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Proceedings Paper

Optimal wavelet tree pruning for image coding
Author(s): Yew Hock Ang; M. Bi; Sim Heng Ong
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Paper Abstract

In this paper, an optimal image coding scheme based on Wavelet decomposition and vector quantization is proposed. The selection of wavelet transformed coefficients for encoding is performed using an optimal tree-pruning algorithm. Optimum selection of wavelet coefficients is achieved by minimizing the overall residual quantization error of the pruned tree. The pruning process takes into consideration the image structure and exploits the spatial masking effect of the human visual system. This reduces the overall coding bit rate without scarifying the perceptual quality in the reconstructed image. Vector quantization of the selected wavelet coefficients (pruned-tree) is performed using our proposed multiresolution product codebook. The optimal design of the product codebook is characterized by its minimized and equally distributed quantization distortions of individual sub-codebooks.

Paper Details

Date Published: 17 April 1995
PDF: 11 pages
Proc. SPIE 2419, Digital Video Compression: Algorithms and Technologies 1995, (17 April 1995); doi: 10.1117/12.206374
Show Author Affiliations
Yew Hock Ang, National Univ. of Singapore (Singapore)
M. Bi, National Univ. of Singapore (Singapore)
Sim Heng Ong, National Univ. of Singapore (Singapore)

Published in SPIE Proceedings Vol. 2419:
Digital Video Compression: Algorithms and Technologies 1995
Arturo A. Rodriguez; Robert J. Safranek; Edward J. Delp, Editor(s)

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