Compression ratio prediction in lossy compression of noisy images. - Alexander N. Zemliachenko; Sergey K. Abramov; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi (IGARSS, 2015)

Automatic lossy compression of noisy images by spiht or jpeg2000 in optimal operation point neighborhood. - Vladimir V. Lukin; Alexander N. Zemliachenko; Sergey K. Abramov; Benoît Vozel; Kacem Chehdi (EUVIP, 2016)

Improved compression ratio prediction in DCT-based lossy compression of remote sensing images. - Alexander N. Zemliachenko; Sergey K. Abramov; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi (IGARSS, 2016)

Still image/video frame lossy compression providing a desired visual quality. - Alexander N. Zemliachenko; Vladimir V. Lukin; Nikolay N. Ponomarenko; Karen O. Egiazarian; Jaakko Astola (Multidimens. Syst. Signal Process., 2016)

On potential to improve DCT-based denoising with local threshold. - Alexander N. Zemliachenko; Vladimir V. Lukin; Igor Djurovic; Benoît Vozel (MECO, 2018)

Prediction of Compression Ratio for DCT-Based Coders With Application to Remote Sensing Images. - Alexander N. Zemliachenko; Ruslan A. Kozhemiakin; Sergey K. Abramov; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi; Karen O. Egiazarian (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Automated Software Tool for Compressing Optical Images with Required Output Quality. - Sergey S. Krivenko; Alexander N. Zemliachenko; Vladimir Lukin 001; Alexander A. Zelensky (CoRR, 2024)