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Lossless multi channel predictive coding for images

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4 Author(s)
M. Iwahashi ; Dept. of Electr. Eng., Nagaoka Nat. Coll. of Technol., Japan ; N. Buabthong ; S. Chokchaitam ; N. Kambayashi

This report proposes a new lossless coding of images. The decoder can expand a rough image from a part of the bit stream (compressed data) and also it can expand the original image from the rest. This functionality is useful for progressive transmission of images or browsing images in a huge database. The new method is based on a reversible wavelet (RWT) and a lossless multi-channel prediction (LMP). Filter coefficients of the LMP are optimized for each input image so that the total bit rate is minimized. Experimental results indicate its effectiveness for use of lossless image coding. Entropy rate is reduced by 0.35 bpp in average for some images

Published in:

Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on  (Volume:4 )

Date of Conference:

Jul 1999