Email this article Development of an algorithm for adaptive compression of indexed images using contextual simulation
- Authors: Borusyak A.V.1, Vasin Y.G.1
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Affiliations:
- Research Institute of Applied Mathematics and Cybernetics
- Issue: Vol 26, No 1 (2016)
- Pages: 4-8
- Section: Representation, Processing, Analysis and Understanding of Images
- URL: https://journals.rcsi.science/1054-6618/article/view/194497
- DOI: https://doi.org/10.1134/S1054661816010041
- ID: 194497
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Abstract
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.
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About the authors
A. V. Borusyak
Research Institute of Applied Mathematics and Cybernetics
Author for correspondence.
Email: sw-bor@yandex.ru
Russian Federation, Nizhny Novgorod, 603005
Yu. G. Vasin
Research Institute of Applied Mathematics and Cybernetics
Email: sw-bor@yandex.ru
Russian Federation, Nizhny Novgorod, 603005
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