The USC Andrew and Erna Viterbi School of Engineering USC Signal and Image Processing Institute USC Ming Hsieh Department of Electrical and Computer Engineering University of Southern California

Technical Report USC-SIPI-293

“Embedded DCT Still Image Compression”

by Jiankun Li, Jin Li and C.-C. Jay Kuo

December 1995

Motivated by Shapiro's embedded zerotree wavelet (EZW) coding and Taubman's layered zero coding (LZC) approaches, we propose an embedded DCT still image compression scheme in this work. The new method generates a single embedded bit stream for DCT coefficients according to their importance. It is demonstrated that the new method performs better than the JPEG standard in rate-distortion tradeoff.

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