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Lossless image compression using adaptive predictor symbol mapping and context filtering

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2 Author(s)
Guang Deng ; Dept. of Electron. Eng., La Trobe Univ., Bundoora, Vic., Australia ; Hua Ye

Common components in recently published lossless image compression algorithms include adaptive prediction, context-based error feedback and adaptive entropy coding. Each component has a number of building blocks. In this paper, we present a new algorithm which uses three new building blocks: an adaptive predictor, a symbol mapping scheme and a context filtering scheme. Experimental results show that the compression performance of the proposed algorithm is better than those of the three state-of-the-art algorithms: CALIC, HBB and LOGO. Experimental results also show that the proposed new building blocks are promising tools for lossless image compression

Published in:

Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on  (Volume:4 )

Date of Conference:

1999

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