Stabilization of the compressed data formation rate in hierarchical image compression |
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Authors: | M V Gashnikov N I Glumov V V Sergeyev |
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Affiliation: | (1) Institute of Image Processing Systems, Russian Academy of Sciences, ul. Molodogvardeiskaya 151, Samara, 443001, Russia |
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Abstract: | A new method is proposed for stabilizing the rate of compressed data formation in the case of hierarchical image compression.
The method is based on using various values of the control parameter (maximum error) for various scale levels of image representation
and for error correction at the last level depending on the received compressed information content.
Gashnikov Mikhail Valer’evich (b. 1975) graduated from the Samara State Aerospace University (SSAU) in 1998. In 2004, he defended his Ph.D. thesis in engineering.
At present, Gashnikov is an associate lecturer at the Department of Geoinformatics (SSAU). The scope of his scientific interests
includes image processing, compression, and statistical coding. He has 30 publications, including 12 papers and a monograph
(with co-authors). He is a member of the Russian Association for Image Recognition and Analysis.
Glumov Nikolai Ivanovich (b. 1962) graduated from the Kuibyshev Aviation Institute (now Samara State Aerospace University) in 1985. In 1994, he defended
his Ph.D. thesis in engineering. At present, Glumov is a senior scientist at the Institute of Image Processing Systems, Russian
Academy of Sciences. His scientific interests include image processing and recognition, image compression, and simulation
of digital image formation systems. He has more than 60 publications, including 20 articles and a monograph (with co-authors).
He is a member of the Russian Association of Image Recognition and Analysis.
Sergeyev Vladislav Viktorovich (b. 1951) graduated from the Kuibyshev Aviation Institute (now Samara State Aerospace University) in 1974. In 1993, he defended
his D.Sc. (eng.) thesis. At present, V.V. Sergeyev heads the Laboratory of Mathematical Methods of Image Processing at the
Institute of Image Processing Systems, Russian Academy of Sciences. His scientific interests include digital signal processing,
image analysis, image recognition, and geoinformatics. He has more than 150 publications, including 40 articles and two monographs
(with co-authors). V.V. Sergeyev is the chairman of the Povolzh’e Division of the Russian Association for Pattern Recognition
and Image Analysis and a Corresponding Member of the Russian Academy of Ecology and the Academy of Engineering Sciences of
the Russian Federation, a member of SPIE (International Society for Optical Engineering), and a winner of the Samara Regional
Award in Science and Engineering. |
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