RT Journal Article ID 41e186377967b1e2 A1 Lukin, V. V. A1 Abramov, S. K. A1 Abramova, V. V. A1 Astola, J. T. A1 Egiazarian, Karen O. T1 DCT-BASED DENOISING IN MULTICHANNEL IMAGING WITH REFERENCE JF Telecommunications and Radio Engineering JO TRE YR 2016 FD 2016-11-07 VO 75 IS 13 SP 1167 OP 1191 K1 denoising K1 image processing K1 reference image K1 3D-DCT, multichannel images K1 quality metrics AB A task of denoising of a component image of multichannel data is considered in this paper assuming that a reference (noise-free) image is available. We propose a denoising approach based on three-dimensional (3D) discrete cosine transform (DCT) applied in blocks. We show that a use of a reference image allows improving the denoising performance (measured by different quality metrics) although it depends on several factors such as a choice of the reference and the way it is pre-processed. One of the most important requirements to achieve a good performance is a similarity between to be processed and the reference images. A high cross-correlation between them is a necessary but not sufficient condition. These images should have also close dynamic range. If all these requirements are satisfied by an appropriate choice or by pre-processing of the reference, improvements of the metrics PSNR and PSNR-HVS-M can be up to 3...5 dB compared to the component-wise DCT-based image denoising. We also analyze and process real-life hyperspectral images and provide examples showing efficiency of filtering noisy component images using other components with high signal-to-noise ratios as references. PB Begell House LK https://www.dl.begellhouse.com/journals/0632a9d54950b268,6f75878a2b2dbce0,41e186377967b1e2.html