Abstract:
We consider an image compression method based on hierarchical grid interpolation and its application in two practical problems: storing space images in large databases and onboard data processing in remote sensing systems. We give a general description of the method, results of comparing this method with others in both efficiency and access time for space images stored in a database. We give algorithms of stabilizing the compressed data flow and increasing its error-resistance that are necessary to implement the method in onboard systems.
Presented by the member of Editorial Board:A. I. Kibzun
Citation:
M. V. Gashnikov, N. I. Glumov, V. V. Sergeev, “A hierarchical compression method for space images”, Avtomat. i Telemekh., 2010, no. 3, 147–161; Autom. Remote Control, 71:3 (2010), 501–513
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\by M.~V.~Gashnikov, N.~I.~Glumov, V.~V.~Sergeev
\paper A~hierarchical compression method for space images
\jour Avtomat. i Telemekh.
\yr 2010
\issue 3
\pages 147--161
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\jour Autom. Remote Control
\yr 2010
\vol 71
\issue 3
\pages 501--513
\crossref{https://doi.org/10.1134/S0005117910030112}
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Linking options:
https://www.mathnet.ru/eng/at796
https://www.mathnet.ru/eng/at/y2010/i3/p147
This publication is cited in the following 10 articles:
N. Yu. Ilyasova, V. V. Sergeyev, N. S. Demin, “Scientific School of Academician V.A. Soifer in the Field of Processing, Analysis, and Recognition of Images and Optical Signals”, Pattern Recognit. Image Anal., 33:4 (2023), 1080
Aleksey Maksimov, Mikhail Gashnikov, 2023 IX International Conference on Information Technology and Nanotechnology (ITNT), 2023, 1
Bavrina A.Y., Fedoseev V.A., “Semi-Fragile Watermarking With Recovery Capabilities For Hgi Compression Method”, Comput. Opt., 46:1 (2022), 103–112
Alina Bavrina, Victor Fedoseev, 2021 International Conference on Information Technology and Nanotechnology (ITNT), 2021, 1
Zheltov S., 2020 Vi International Conference on Information Technology and Nanotechnology (IEEE Itnt-2020), ed. Kudryashov D., IEEE, 2020
M. V. Gashnikov, N. I. Glumov, A. V. Kuznetsov, V. A. Mitekin, V. V. Myasnikov, V. V. Sergeev, “Hyperspectral remote sensing data compression and protection”, Kompyuternaya optika, 40:5 (2016), 689–712
M. V. Gashnikov, N. I. Glumov, “Development and investigation of a hierarchical compression algorithm for storing hyperspectral images”, Opt. Mem. Neural Networks, 25:3 (2016), 168
M. V. Gashnikov, N. I. Glumov, “Ierarkhicheskaya kompressiya v zadache khraneniya giperspektralnykh izobrazhenii”, Kompyuternaya optika, 38:3 (2014), 482–488
M. V. Gashnikov, N. I. Glumov, “Ierarkhicheskaya setochnaya interpolyatsiya pri szhatii giperspektralnykh izobrazhenii”, Kompyuternaya optika, 38:1 (2014), 87–93
M. V. Gashnikov, N. I. Glumov, “Hierarchical GRID interpolation under hyperspectral images compression”, Opt. Mem. Neural Networks, 23:4 (2014), 246