Adaptive hierarchical vector quantization for image coding: new results

Sheng Zhong; Francis Chin; Qing-Yun Shi

doi:10.1117/12.210738

1 October 1995 Adaptive hierarchical vector quantization for image coding: new results

Sheng Zhong, Francis Chin, Qing-Yun Shi

Author Affiliations +

Optical Engineering, Vol. 34, Issue 10, (October 1995). https://doi.org/10.1117/12.210738

Abstract

Adaptive hierarchical algorithms of vector quantization (VQ) for image coding are proposed. First the basic codebook is generated adaptively using adaptive VQ, then the quadruplets of codes/indices in the so-called zigzag order are coded into higher level (second and third levels) codes by creating the second- and third-level index codebooks to reduce the redundancy presented in the codes. Partially matched quadruplets are also encoded in the second and third layers using the index codebooks along with corresponding correction schemes. The third-layer encoding achieves a better compression ratio than a two-layer encoding scheme, which was shown to be optimal when partial encoding was not adopted. This three-layer coding scheme achieves better compression with no extra distortion and little extra computation. Experiments show encouraging results.

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Sheng Zhong, Francis Chin, and Qing-Yun Shi "Adaptive hierarchical vector quantization for image coding: new results," Optical Engineering 34(10), (1 October 1995). https://doi.org/10.1117/12.210738

Published: 1 October 1995

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