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Эта публикация цитируется в 9 научных статьях (всего в 9 статьях)
IMAGE PROCESSING, PATTERN RECOGNITION
Hyperspectral remote sensing data compression and protection
M. V. Gashnikova, N. I. Glumovab, A. V. Kuznetsovab, V. A. Mitekinab, V. V. Myasnikovab, V. V. Sergeevab a Samara National Research University, Samara, Russia
b Image Processing Systems Institute оf RAS, – Branch of the FSRC “Crystallography and Photonics” RAS, Samara, Russia
Аннотация:
In this paper, we consider methods for hyperspectral image processing, required in systems of image formation, storage, and transmission and aimed at solving problems of data compression and protection. A modification of the digital image compression method based on a hierarchical grid interpolation is proposed. Methods of active (on the basis of digital watermarking) and passive (on the basis of artificial image distortion detection) data protection against unauthorized dissemination are developed and investigated.
Ключевые слова:
digital image processing, image analysis, hyperspectral images, data compression, hierarchical grid interpolation method, digital watermarks.
Поступила в редакцию: 06.10.2016 Принята в печать: 25.10.2016
Образец цитирования:
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”, Компьютерная оптика, 40:5 (2016), 689–712
Образцы ссылок на эту страницу:
https://www.mathnet.ru/rus/co291 https://www.mathnet.ru/rus/co/v40/i5/p689
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