Fast image coding using blockwise binary classification and trellis coded quantization

Zhihai He, Tian-Hu Yu, and S. K. Mitra

Department of Electrical and Computer Engineering
University of California, Santa Barbara, CA 93106, USA
{zhihai, mitra} [at]


With blockwise binary classification and data partitioning, we convert the image subbands to the type of data for which the trellis coded quantization(TCQ) has the best quantization performance. Compared to the arithmetic coded TCQ(ACTCQ)3 and other TCAQ-based coding schemes, the proposed algorithm reduces the computational competitively with the best available coding algorithms reported in the literature in terms rate-distortion performance.
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Zhihai He, Tian-Hu Yu, and S. K. Mitra,
34th Asilomar Conference on Signals, Systems, and Computers, Oct. 2000.
Node ID: 305 , DB ID: 102 , Lab: IPL , Target: Proceedings
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