Abstract
The compression of binary bitmap images based on statistical coding with context simulation is considered. Development trends for models and methods of context simulation for an efficient algorithm of compressing binary graphics are discussed. An efficient algorithm of compressing binary graphics is presented.
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Aleksandr V. Borusyak. Born 1989. Graduated from Lobachevsky State University, Nizhni Novgorod 2012. Postgraduate student of Department of Intelligent Information Systems and Geoinformatics of Lobachevsky State University. Scientific interests: theoretical and applied informatics, image processing, information technologies of data compression. Author of one paper.
Yurii G. Vasin. Born 1940. Graduated from Lobachevsky State University 1962. Received doctoral degree 1988. Awarded Prize of USSR Council of Ministers 1990. Head of Department of NII of Applied Mathematics and Cybernetics and Head of Department of Intelligent Information Systems and Geoinformatics, Lobachevsky State University. Scientific interests: theoretical and applied informatics, pattern recognition, image processing, information technologies. Author of more than 100 papers. Member of Russian Academy of Natural Sciences.
Sergei V. Zherzdev. Born 1976. Graduated from Lobachevsky State University 1999. Received candidate’s degree in 2005. Head of the Laboratory of NII of Applied Mathematics and Cybernetics of Lobachevsky State University. Scientific interests: theoretical and applied informatics, information technologies of data compression. Author of more than 30 papers.
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Borusyak, A.V., Vasin, Y.G. & Zherzdev, S.V. Compression of binary graphics using context simulation. Pattern Recognit. Image Anal. 23, 207–210 (2013). https://doi.org/10.1134/S1054661813020041
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DOI: https://doi.org/10.1134/S1054661813020041