Metric performance in similar blocks search and their use in collaborative 3D filtering of grayscale images. - Aleksey Rubel; Vladimir V. Lukin; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2014)

Efficiency of DCT-Based Denoising Techniques Applied to Texture Images. - Aleksey Rubel; Vladimir V. Lukin; Oleksiy B. Pogrebnyak (MCPR, 2014)

Prediction of Despeckling Efficiency of DCT-Based Filters Applied to SAR Images. - Oleksii S. Rubel; Vladimir V. Lukin; Fátima N. S. de Medeiros (DCOSS, 2015)

A method for predicting DCT-based denoising efficiency for grayscale images corrupted by AWGN and additive spatially correlated noise. - Aleksey Rubel; Vladimir V. Lukin; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2015)

Efficiency of texture image enhancement by DCT-based filtering. - Aleksey Rubel; Vladimir V. Lukin; Mikhail L. Uss; Benoît Vozel; Oleksiy B. Pogrebnyak; Karen O. Egiazarian (Neurocomputing, 2016)

Efficiency of texture image filtering and its prediction. - Oleksii S. Rubel; Vladimir V. Lukin; Sergey K. Abramov; Benoît Vozel; Karen O. Egiazarian; Oleksiy B. Pogrebnyak (Signal Image Video Process., 2016)

Speckle reducing for Sentinel-1 SAR data. - Sergey K. Abramov; Oleksii S. Rubel; Vladimir V. Lukin; Ruslan A. Kozhemiakin; Nataliia Kussul; Andrii Shelestov; Mykola Lavreniuk (IGARSS, 2017)

Blind DCT-based prediction of image denoising efficiency using neural networks. - Oleksii S. Rubel; Andrii S. Rubel; Vladimir V. Lukin; Karen O. Egiazarian (EUVIP, 2018)

Is Texture Denoising Efficiency Predictable? - Oleksii S. Rubel; Vladimir V. Lukin; Sergey K. Abramov; Benoît Vozel; Oleksiy B. Pogrebnyak; Karen O. Egiazarian (Int. J. Pattern Recognit. Artif. Intell., 2018)

Blind Prediction of Original Image Quality for Sentinel Sar Data. - Oleksii S. Rubel; Andrii S. Rubel; Vladimir V. Lukin; Marco Carli; Karen O. Egiazarian (EUVIP, 2019)

Additive spatially correlated noise suppression by robust block matching and adaptive 3D filtering (JIST-first). - Oleksii S. Rubel; Vladimir V. Lukin; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2019)

Prediction of performance of 2D DCT-based filter and adaptive selection of its parameters. - Sergey Abramov; Vladimir V. Lukin; Oleksii S. Rubel; Karen O. Egiazarian (IQSP, 2020)

Prediction of Lee filter performance for Sentinel-1 SAR images. - Oleksii S. Rubel; Vladimir V. Lukin; Andrii S. Rubel; Karen O. Egiazarian (IQSP, 2020)

Lossy Compression of Multichannel Remote Sensing Images with Quality Control. - Vladimir V. Lukin; Irina V. Vasilyeva; Sergey S. Krivenko; Fangfang Li 003; Sergey K. Abramov; Oleksii S. Rubel; Benoît Vozel; Kacem Chehdi; Karen O. Egiazarian (Remote. Sens., 2020)

Decision-making on image denoising expedience. - Andrii S. Rubel; Oleksii S. Rubel; Vladimir V. Lukin; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2021)

Benchmark of Similar Blocks Search under Noisy Conditions. - Oleksii S. Rubel; Rostyslav Tsekhmystro; Vladimir V. Lukin; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2021)

Reduction of Spatially Correlated Speckle in Textured SAR Images. - Oleksii S. Rubel; Vladimir V. Lukin; Sergey S. Krivenko; Vladimir Pavlikov; Simeon Zhyla; Eduard Tserne (Int. J. Comput., 2021)

Selection of Lee Filter Window Size Based on Despeckling Efficiency Prediction for Sentinel SAR Images. - Oleksii S. Rubel; Vladimir V. Lukin; Andrii S. Rubel; Karen O. Egiazarian (Remote. Sens., 2021)

Lossy Compression of Three-Channel Remote Sensing Images with "Color" Component Downscaling. - Viktor O. Makarichev; Galina Proskura; Oleksii S. Rubel; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi (IGARSS, 2022)

Optimal parameters selection of the Frost filter based on despeckling efficiency prediction for Sentinel SAR images. - Oleksii S. Rubel; Andrii S. Rubel; Vladimir V. Lukin; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2022)