Compression via optimal basis selection in large tree-structured dictionaries

摘要

We use an efficient image tiling algorithm for image compression based on local cosine bases. Specifically, an adaptive local cosine transform is constructed to optimize a rate-distortion cost. This improves the rate-distortion performance, compared to a previous adaptive local cosine image coder based on a smaller dictionary of transforms.