Image compression using a new discrete multiwavelet transform and a new embedded vector quantization

Kai Bao; Xiang Gen Xia

doi:10.1109/76.867920

Image compression using a new discrete multiwavelet transform and a new embedded vector quantization

Kai Bao, Xiang Gen Xia

Research output: Contribution to journal › Article › peer-review

21 Citations (Scopus)

Abstract

An embedded image compression scheme using discrete multiwavelet transform (DMWT) is proposed in this paper. The proposed coding scheme is based on a new prefilter design for DMWT and a new embedded coding algorithm which combines scalar quantization and 2×2 vector quantization (VQ). A new algorithm for embedded VQ codebook generation is proposed, which is shown to have a better performance than the current schemes. The performance of the proposed compression scheme is comparable to the one of the SPIHT algorithm.

Original language	English
Pages (from-to)	833-842
Number of pages	10
Journal	IEEE Transactions on Circuits and Systems for Video Technology
Volume	10
Issue number	6
DOIs	https://doi.org/10.1109/76.867920
Publication status	Published - Sept 2000
Externally published	Yes

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10.1109/76.867920

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Image compression using a new discrete multiwavelet transform and a new embedded vector quantization

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