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JOURNALS // Computer Optics // Archive

Computer Optics, 2016 Volume 40, Issue 5, Pages 689–712 (Mi co291)

This article is cited in 9 papers

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 îf RAS, – Branch of the FSRC “Crystallography and Photonics” RAS, Samara, Russia

Abstract: 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.

Keywords: digital image processing, image analysis, hyperspectral images, data compression, hierarchical grid interpolation method, digital watermarks.

Received: 06.10.2016
Accepted: 25.10.2016

Language: English

DOI: 10.18287/2412-6179-2016-40-5-689-712



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