Published 12 issues per year
ISSN Print: 0040-2508
ISSN Online: 1943-6009
Indexed in
AN APPROACH TO PREDICTION AND PROVIDING OF COMPRESSION RATIO FOR DCT-BASED CODER APPLIED TO MULTICHANNEL REMOTE SENSING DATA
ABSTRACT
We propose and study an approach to compression ratio prediction and providing with application to multichannel remote sensing images. DCT-based compression techniques, both 2D applied component-wise and 3D applied to sub-band groups, are considered. It is shown that compression ratio can be predicted for component-wise processing of multichannel images using a simple modification of approach proposed recently for coding single-component images, either noise-free or corrupted by different types of noise where an input parameter used in prediction is percentage of zeros in AC DCT-coefficients after quantization. It is also demonstrated that compression ratio can be predicted for 3D coders applied to multichannel image as a whole or as a set of groups of channels. Such a prediction, under certain conditions, allows also providing a desired compression ratio within a procedure that does not require multiple compression. The approaches are tested for Landsat multichannel remote sensing data.
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Kozhemiakin Ruslan, Abramov Sergey, Lukin Vladimir, Djurovic Blazo, Djurovic Igor, Simeunovic Marko, Strategies of SAR image lossy compression by JPEG2000 and SPIHT, 2017 6th Mediterranean Conference on Embedded Computing (MECO), 2017. Crossref
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Kozhemiakin Ruslan, Lukin Vladimir, Vozel Benoit, Image quality prediction for DCT-based compression, 2017 14th International Conference The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM), 2017. Crossref
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Zemliachenko Alexander N., Kozhemiakin Ruslan A., Abramov Sergey K., Lukin Vladimir V., Vozel Benoit, Chehdi Kacem, Egiazarian Karen O., Prediction of Compression Ratio for DCT-Based Coders With Application to Remote Sensing Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, 1, 2018. Crossref