Discrete Atomic Compression with Different Structures of Discrete Atomic Transform: Efficiency Comparison and Perspectives of Application to Digital Images Privacy Protection. - Viktor O. Makarichev; Vladimir V. Lukin; Iryna V. Brysina (DESSERT, 2020)

Comparison of DAT with DCT in a Viewpoint of Current Image Processing and Analysis Trends. - Viktor O. Makarichev; Vladimir V. Lukin; Iryna V. Brysina (DESSERT, 2022)

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)

On Image Complexity in Viewpoint of Image Processing Performance. - Vladimir V. Lukin; Sergey S. Krivenko; Fangfang Li 003; Sergey Abramov; Viktor O. Makarichev (IntelITSIS, 2022)

Spatial Complexity Reduction in Remote Sensing Image Compression by Atomic Functions. - Viktor O. Makarichev; Vladimir V. Lukin; Iryna V. Brysina; Benoît Vozel (IEEE Geosci. Remote. Sens. Lett., 2022)

Discrete Atomic Transform-Based Lossy Compression of Three-Channel Remote Sensing Images with Quality Control. - Viktor O. Makarichev; Irina V. Vasilyeva; Vladimir V. Lukin; Benoît Vozel; Andrii Shelestov; Nataliia Kussul (Remote. Sens., 2022)

Digital Image Representation by Atomic Functions: The Compression and Protection of Data for Edge Computing in IoT Systems. - Viktor O. Makarichev; Vladimir V. Lukin; Oleg Illiashenko; Vyacheslav Kharchenko (Sensors, 2022)

Combined Lossless/Lossy Compression of Three-channel Images. - Viktor O. Makarichev; Vladimir V. Lukin (DESSERT, 2023)

Coding Improvement in the DAC Algorithm. - Viktor O. Makarichev; Vladimir V. Lukin; Iryna V. Brysina (DESSERT, 2023)

Image Compression and Protection Systems Based on Atomic Functions. - Viktor O. Makarichev; Vladimir V. Lukin; Vyacheslav S. Kharchenko (Int. J. Comput., 2023)