Subband coding of images using transform vector quantization

S. Bedros, M. Kaveh

Research output: Contribution to conferencePaper

Abstract

A subband coding scheme (SBC-TVQ) for image coding in which vector quantization (VQ) is implemented in the discrete cosine transform (DCT) domain is presented. SBC-TVQ exploits the correlation in large image blocks by taking advantage of the compaction of the energy along certain directions in the transform domain of the high-frequency subbands. In this method, the spectrum of the input image is decomposed nonuniformly into seven bands using a quadrature mirror filter (QMF) bank. For each of the three high-frequency subbands, the transformed blocks are classified and adaptively partitioned into smaller subvectors with different dimensions. The obtained subvectors are quantized using VQ. The low-frequency subband is coded with higher precision using the classical adaptive DCT coder. Reasonably good reconstructed images are obtained at a rate around 0.4 bit per pixel.

Original languageEnglish (US)
Pages341-344
Number of pages4
StatePublished - Dec 1 1990
EventProceedings of the 32nd Midwest Symposium on Circuits and Systems Part 2 (of 2) - Champaign, IL, USA
Duration: Aug 14 1989Aug 16 1989

Other

OtherProceedings of the 32nd Midwest Symposium on Circuits and Systems Part 2 (of 2)
CityChampaign, IL, USA
Period8/14/898/16/89

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    Bedros, S., & Kaveh, M. (1990). Subband coding of images using transform vector quantization. 341-344. Paper presented at Proceedings of the 32nd Midwest Symposium on Circuits and Systems Part 2 (of 2), Champaign, IL, USA, .