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Applications of universal context modeling to lossless compression of gray-scale images

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3 Author(s)
Weinberger, M.J. ; Hewlett-Packard Labs., Palo Alto, CA, USA ; Rissanen, J.J. ; Arps, R.B.

Inspired by theoretical results on universal modeling, a general framework for sequential modeling of gray-scale images is proposed and applied to lossless compression. The model is based on stochastic complexity considerations and is implemented with a tree structure. It is efficiently estimated by a modification of the universal algorithm context. The sequential, lossless compression schemes obtained when the context modeler is used with an arithmetic coder, are tested with a representative set of gray-scale images. The compression ratios are compared with those obtained with state-of-the-art algorithms available in the literature, with the results of the comparison, showing the potential of the proposed approach.

Published in:

Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on  (Volume:1 )

Date of Conference:

Oct. 30 1995-Nov. 1 1995