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The Computer Journal 1993 36(1):68-77; doi:10.1093/comjnl/36.1.68
© 1993 by British Computer Society
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Context-based Lossless Image Compression

P. E. Tischer *, R. T. Worley *, A. J. Maeder * and M. Goodwin *

Victorian Centre of Image Processing and Graphics, Department of Computer Science, Monash University, Clayton, 3168, Victoria, Australia

The two-dimensional method of Langdon and Rissanen for compression of black and white images is extended to handle the exact lossless compression of grey-scale images. Neighbouring pixel values are used to define contexts and probabilities associated with the contexts are used to compress the image. The problem of restricting the number of contexts, both to limit the storage requirements and to be able to obtain sufficient data to generate meaningful probabilities, is addressed. Investigations on a variety of images are carried using the JPEG lossless mode predictors. Results indicate that a one pass arithmetic encoder using restricted contexts can lead to effective lossless image compression algorithms.

Received March 1992. accepted October 1992.

* Victorian Centre of Image Processing and Graphics, Department of Computer Science, Monash University, Clayton, 3168, Victoria, Australia


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