Analysis of outlier influence on nonlinear filter output for linearly increasing/decreasing signals with noise. - Sergey K. Abramov; Sari Peltonen; Vladimir V. Lukin; Pauli Kuosmanen; Jaakko Astola (EUSIPCO, 2000)

Blind evaluation of noise variance in images using myriad operation. - Sergey K. Abramov; Vladimir V. Lukin; Alexander A. Zelensky; Jaakko T. Astola (Image Processing: Algorithms and Systems, 2002)

Automated robust procedure for SAR image filtering and preliminary analysis. - Vladimir V. Lukin; Nikolay N. Ponomarenko; Sergey K. Abramov; Karen O. Egiazarian; Jaakko T. Astola (SAR, 2002)

Blind evaluation of additive noise variance in textured images by nonlinear processing of block DCT coefficients. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Sergey K. Abramov; Karen O. Egiazarian; Jaakko T. Astola (Image Processing: Algorithms and Systems, 2003)

Noise Identification and Estimation of its Statistical Parameters by Using Unsupervised Variational Classification. - Benoît Vozel; Kacem Chehdi; Luc Klaine; Vladimir V. Lukin; Sergey K. Abramov (ICASSP (2), 2006)

Joint Estimation of Multiplicative and Impulsive Noise Parameters in Remote Sensing Images with Fractal Structure. - Mikhail L. Uss; Vladimir V. Lukin; Sergey K. Abramov; Benoît Vozel; Kacem Chehdi (ICASSP (1), 2007)

Bootstrap based Adaptation of Sample Myriad to Characteristics of SalphaS Distribution Data. - Vladimir V. Lukin; Alexey A. Roenko; Sergey K. Abramov; Igor Djurovic; Jaakko Astola (ISCAS, 2009)

Improved method for blind estimation of the variance of mixed noise using weighted LMS line fitting algorithm. - Sergey K. Abramov; Victoriya Zabrodina; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi; Jaakko Astola (ISCAS, 2010)

Discrete cosine transform-based local adaptive filtering of images corrupted by nonstationary noise. - Vladimir V. Lukin; Dmitriy V. Fevralev; Nikolay N. Ponomarenko; Sergey K. Abramov; Oleksiy B. Pogrebnyak; Karen O. Egiazarian; Jaakko Astola (J. Electronic Imaging, 2010)

Blind estimation of mixed noise parameters in images using robust regression curve fitting. - Victoria Zabrodina; Sergey K. Abramov; Vladimir V. Lukin; Jaakko Astola; Benoît Vozel; Kacem Chehdi (EUSIPCO, 2011)

Image filtering: Potential efficiency and current problems. - Vladimir V. Lukin; Sergey K. Abramov; Nikolay N. Ponomarenko; Karen O. Egiazarian; Jaakko Astola (ICASSP, 2011)

Efficiency analysis of DCT-based filters for color image database. - Dmitriy V. Fevralev; Nikolay N. Ponomarenko; Vladimir V. Lukin; Sergey K. Abramov; Karen O. Egiazarian; Jaakko T. Astola (Image Processing: Algorithms and Systems, 2011)

Efficiency analysis of color image filtering. - Dmitriy V. Fevralev; Nikolay N. Ponomarenko; Vladimir V. Lukin; Sergey K. Abramov; Karen O. Egiazarian; Jaakko Astola (EURASIP J. Adv. Signal Process., 2011)

Image Informative Maps for Estimating Noise Standard Deviation and Texture Parameters. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Sergey K. Abramov; Igor Baryshev; Kacem Chehdi (EURASIP J. Adv. Signal Process., 2011)

Robust local scale estimators for blind evaluation of noise variance in images. - Sergey K. Abramov; Victoriya Abramova; Vladimir V. Lukin; Karen O. Egiazarian (ISCCSP, 2012)

Blind estimation of signal-dependent noise parameters for color image database. - Sergey K. Abramov; Victoriya Abramova; Mikhail L. Uss; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi (EUVIP, 2013)

Prediction of filtering efficiency for DCT-based image denoising. - Sergey K. Abramov; Sergey S. Krivenko; Alexey A. Roenko; Vladimir V. Lukin; Igor Djurovic; Mikhail Chobanu (MECO, 2013)

Analysis of classification accuracy for pre-filtered multichannel remote sensing data. - Vladimir V. Lukin; Sergey K. Abramov; Sergey S. Krivenko; Andrey A. Kurekin; Oleksiy B. Pogrebnyak (Expert Syst. Appl., 2013)

Automation of analysis for correlated noise in images based on DCT coefficient statistics. - Alexey A. Roenko; Vladimir V. Lukin; Sergey K. Abramov; Igor Djurovic (MECO, 2014)

On required accuracy of mixed noise parameter estimation for image enhancement via denoising. - Victoriya Abramova; Sergey K. Abramov; Vladimir V. Lukin; Karen O. Egiazarian; Jaakko Astola (EURASIP J. Image Video Process., 2014)

On noise properties in hyperspectral images. - Sergey K. Abramov; Mykhail L. Uss; Victoriya V. Abramova; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi (IGARSS, 2015)

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

Peculiarities of 3D compression of noisy multichannel images. - Ruslan A. Kozhemiakin; Sergey K. Abramov; Vladimir V. Lukin; Igor Djurovic; Benoît Vozel (MECO, 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)

Lossy compression of Landsat multispectral images. - Ruslan A. Kozhemiakin; Sergey K. Abramov; Vladimir Badenko; Blazo Djurovic; Igor Djurovic; Benoît Vozel (MECO, 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 evaluation of noise characteristics in multi-channel images exploiting inter-channel correlation. - Victoriya Abramova; Sergey K. Abramov; Vladimir V. Lukin; Igor Djurovic; Marko Simeunovic; Benoît Vozel (MECO, 2017)

Strategies of SAR image lossy compression by JPEG2000 and SPIHT. - Ruslan A. Kozhemiakin; Sergey K. Abramov; Vladimir V. Lukin; Blazo Djurovic; Igor Djurovic; Marko Simeunovic (MECO, 2017)

Hyperspectral Image Restoration Based on Salient Edges. - Mo Zhang; Benoît Vozel; Kacem Chehdi; Mykhail L. Uss; Sergey K. Abramov; Vladimir V. Lukin (IGARSS, 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)

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)

Enhancement of Component Images of Multispectral Data by Denoising with Reference. - Sergey K. Abramov; Mikhail L. Uss; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi; Karen O. Egiazarian (Remote. Sens., 2019)

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)

Selection of a Similarity Measure Combination for a Wide Range of Multimodal Image Registration Cases. - Mikhail L. Uss; Benoît Vozel; Sergey K. Abramov; Kacem Chehdi (IEEE Trans. Geosci. Remote. Sens., 2021)