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Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN 印刷: 0040-2508
ISSN オンライン: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v74.i20.40
pages 1803-1821

OPTIMAL OPERATION POINT IN 3D DCT- BASED LOSSY COMPRESSION OF COLOR AND MULTICHANNEL REMOTE SENSING IMAGES

V. V. Lukin
National Aerospace University (Kharkiv Aviation Institute), 17 Chkalov St., Kharkiv, 61070, Ukraine
S. K. Abramov
Department of Transmitters, Receivers and Signal Processing, National Aerospace University (Kharkiv Aviation Institute), 17 Chkalov St., Kharkiv, 61070, Ukraine
R.A. Kozhemiakin
Dept 504, National Aerospace University, 17 Chkalova Str., 61070, Kharkiv, Ukraine
Benoit Vozel
University of Rennes 1, Enssat, Lannion, 22300, France
B. Djurovic
University of Montenegro, Podgorica, Montenegro
I. Djurovic
University of Montenegro, Cetinsky put bb, 81000, Podgorica, Montenegro

要約

A task of lossy compression of multichannel images corrupted by additive noise is considered. The main attention is paid to the three-dimensional (3D) compression based on discrete cosine transform (DCT). It is shown that optimal operation point (OOP) often exists where OOP relates to such compression parameters when a compressed image is maximally close to corresponding noise-free image according to a chosen quality metric. It is shown that OOP exists with higher probability if 3D compression is carried out compared to component-wise lossy compression. If noise variance is the same in all components, quantization step (QS) values that provide OOP for 3D and component-wise compression are practically the same. Meanwhile, 3D compression possesses obvious benefits in the sense of metric values and compression ratios (CRs) in OOP. Experiments are carried out for test color images and 3-component Landsat image. It is demonstrated that the situation becomes more complicated if noise variance is not equal in image components. Then, several approaches to compression are proposed and tested.


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