Fuzzy reasoning for image compression using adaptive triangular plane patches

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-dimen sion position of triangular plane patches that approximate the correspondin g luminance curved surfaces of an original image. Such an adjustment consid ers the influence of all pixels contained in the projection of a patch, ins tead of defining a patch by only three pixels at the vertices. The influenc e is described and calculated with a soft computing technique, the simplifi ed fuzzy reasoning. Experimental results show that such a flexible strategy significantly reduces the average distortion between the reconstructed ima ge and the original one, avoiding excess block splitting, and as a result, increasing the data compression rate. (C) 1999 Elsevier Science B.V. All ri ghts reserved.