Efficient Image Compression by Coding of Low-Entropy Sources
M. P. Bakulina
Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch, Russian Academy of Sciences, marina@rav.sscc.ru
Keywords: image compression, low-entropy source, redundancy
Pages: 59-66
Abstract
We consider one of the important problems of information theory-the compression of data, in particular images, without loss of quality. An efficient image compression algorithm based on two-step coding. A comparison of experimental results of this algorithm and the JPEG-LS halftone image compression standard confirms the efficiency of the proposed method.
|
