Symbol mapping and context filtering for lossless image compression

Author

Deng, Guang

Author_Institution

Dept. of Electron. Eng., La Trobe Univ., Bundoora, Vic., Australia

Volume

1

fYear

1998

fDate

4-7 Oct 1998

Firstpage

526

Abstract

Key building blocks of lossless image compression algorithms include adaptive prediction, context-based error feedback and adaptive entropy coding. This paper presents a new algorithm which includes two other building blocks-symbol mapping and context filtering. Experimental results show that the compression performance of the proposed algorithm is very close to that of CALIC and is better than that of LOGO and S+P. It is different from CALIC in the following aspects: (1) an adaptive median-FIR predictor, (2) a new error representation scheme using symbol mapping, (3) a different context calculation scheme for the prediction error, and (4) a new context filtering scheme

Keywords

FIR filters; adaptive filters; data compression; image coding; median filters; prediction theory; adaptive median-FIR predictor; compression performance; context filtering; error representation scheme; lossless image compression; prediction error; symbol mapping; Adaptive filters; Biomedical imaging; Compression algorithms; Decoding; Entropy coding; Feedback; Filtering; Image coding; Prediction algorithms; Quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on

Conference_Location

Chicago, IL

Print_ISBN

0-8186-8821-1

Type

conf

DOI

10.1109/ICIP.1998.723554

Filename

723554