Being able to control the quality of the decoded data instead of the compression rate is suitable for applications where quality control is of utmost importance, yet we would like to be as economical as possible with respect to storage and speed of computation. In this paper we present a compression algorithm based on Harten's interpolatory framework for multiresolution that guarantees a specific estimate of the error between the original and the decoded image measured in the max-norm.
Lossless and near-lossless image compression based on multiresolution analysis
2005-01-01
258548 byte
Conference paper
Electronic Resource
English
Lossless and Near-Lossless Image Compression Based on Multiresolution analysis
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