Development of an algorithm for adaptive compression of indexed images using contextual simulation


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An algorithm is proposed for compression of indexed raster images (IRI) based on statistical coding using context simulation. A model and methods are developed in order to create an effective algorithm for compression of indexed graphic information. A detailed consideration is given to methods for increasing the compression ratio. The optimization of the algorithm, including computation parallelization, is presented. The proposed algorithm is compared with other universal and specialized compression algorithms.

作者简介

A. Borusyak

Research Institute of Applied Mathematics and Cybernetics

编辑信件的主要联系方式.
Email: sw-bor@yandex.ru
俄罗斯联邦, Nizhny Novgorod, 603005

Yu. Vasin

Research Institute of Applied Mathematics and Cybernetics

Email: sw-bor@yandex.ru
俄罗斯联邦, Nizhny Novgorod, 603005

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