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17 April 1995 Optimal wavelet tree pruning for image coding
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yew Hock Ang, M. Bi, and Sim Heng Ong "Optimal wavelet tree pruning for image coding", Proc. SPIE 2419, Digital Video Compression: Algorithms and Technologies 1995, (17 April 1995);

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