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Fuzzy reasoning for image compression using adaptive triangular plane patches
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DOI：10.1016/S0165-0114(98)00227-9.png)
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In this article, we present a method called adaptive patch adjustment that improves the performance of digital image data compression using triangular plane patches. The method is designed to adaptively adjust the three-dimension position of triangular plane patches that approximate the corresponding luminance curved surfaces of an original image. Such an adjustment considers the influence of all pixels contained in the projection of a patch, instead of defining a patch by only three pixels at the vertices. The influence is described and calculated with a soft computing technique, the simplified fuzzy reasoning. Experimental results show that such a flexible strategy significantly reduces the average distortion between the reconstructed image and the original one, avoiding excess block splitting, and as a result, increasing the data compression rate. (C) 1999 Elsevier Science B.V. All rights reserved.
Keyword:
image compression
adaptive patch adjustment
optimal triangular plane patch
simplified fuzzy reasoning
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