%0 Journal Article %A Kozhemiakin, R.A. %A Lukin, V. V. %A Abramov, S. K. %A Simeunovic, M. %A Djurovic, B. %A Djurovic, I. %D 2016 %I Begell House %K lossy compression, DCT, remote sensing, multichannel images, compression ratio prediction %N 14 %P 1255-1269 %R 10.1615/TelecomRadEng.v75.i14.30 %T AN APPROACH TO PREDICTION AND PROVIDING OF COMPRESSION RATIO FOR DCT-BASED CODER APPLIED TO MULTICHANNEL REMOTE SENSING DATA %U https://www.dl.begellhouse.com/journals/0632a9d54950b268,599bbf4b03130287,27d2e6805ac4f52d.html %V 75 %X 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. %8 2016-11-07