Image compression with adaptive local cosines: a comparative study

Abstract--The goal of this work is twofold. First, we demonstrate that an advantage can be gained by using local cosine bases over wavelets to encode images that contain periodic textures. We designed a coder that outperforms one of the best wavelet coders [1] on a large number of images. The coder finds the optimal segmentation of the image in terms of local cosine bases. The coefficients are encoded using a scalar quantizer optimized for Laplacian distributions. This new coder constitutes the first concrete contribution of the paper. Second, we used our coder to perform an extensive comparison of several optimized bells [2]

• Type: Journal
• Year: 2002
• Where: TIP
• Authors: François G. Meyer
• Keywords: Coder, Images, Local Cosine Bases, TIP 2002