Optimal codebook design for a trellis-searched vector quantization

Seung Jun Lee; Yong Chang Seo; ChoongWoong Lee

doi:10.1117/12.185983

16 September 1994 Optimal codebook design for a trellis-searched vector quantization

Seung Jun Lee, Yong Chang Seo, ChoongWoong Lee

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185983
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

Abstract

This paper proposes a new trellis-searched vector quantization scheme with an optimal codebook design algorithm. The proposed vector quantizer employs a conditional index encoder to efficiently exploit high interblock correlation, where each index is adaptively encoded using a different Huffman table which is selected according to the index of the previously decoded block. We also modify the Viterbit algorithm in order to find the optimal path through the trellis of indices. For an optimal codebook design an iterative descent method is used, which is very similar to that for ECVQ (entropy-constrained vector quantization) codebook design. Simulation results show that at the same bitrate the proposed method provides higher PSNR performances than the conventional ECVQ by 1.0 approximately 3.0 dB when applied to image coding.

Citation Download Citation

Seung Jun Lee, Yong Chang Seo, and ChoongWoong Lee "Optimal codebook design for a trellis-searched vector quantization", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185983

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KEYWORDS

Computer programming

Quantization

Image compression

Computer simulations

Image quality

Electronics

Electronics engineering

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