Anisotropic Diffusion as a Preprocessing Step for Efficient Image Compression

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Venue:
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Year:
1998

Citing 4
Cited 3

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Abstract

Anisotropic diffusion is an image enhancement method. It is a non-linear process which removes noise and irrelevant details while preserving the edges, i.e. it "extracts" the essential visual information. The paper proposes a useful application of anisotropic diffusion in image data compression. We argue that for high compression an anisotropic diffusion preprocessing results in better quality of the decoded image.