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)

Image noise-informative map for noise standard deviation estimation. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Igor Baryshev; Kacem Chehdi (ICASSP, 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)

Local Signal-Dependent Noise Variance Estimation From Hyperspectral Textural Images. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (IEEE J. Sel. Top. Signal Process., 2011)

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)

Image informative maps for component-wise estimating parameters of signal-dependent noise. - Mykhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (J. Electronic Imaging, 2013)

A Precise Lower Bound on Image Subpixel Registration Accuracy. - Mikhail L. Uss; Benoît Vozel; Vitaliy A. Dushepa; Vladimir A. Komjak; Kacem Chehdi (IEEE Trans. Geosci. Remote. Sens., 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)

Efficient Rotation-Scaling-Translation Parameters Estimation in Multimodal Settings Based on Fractal Image Model. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (CoRR, 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)

Efficient Rotation-Scaling-Translation Parameter Estimation Based on the Fractal Image Model. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (IEEE Trans. Geosci. Remote. Sens., 2016)

Multimodal Remote Sensing Image Registration With Accuracy Estimation at Local and Global Scales. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (IEEE Trans. Geosci. Remote. Sens., 2016)

NoiseNet: Signal-Dependent Noise Variance Estimation with Convolutional Neural Network. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (ACIVS, 2018)

Combined Use of Multimodal Similarity Measures for Visual to Radar Image Registration. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (IGARSS, 2018)

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

Efficient Discrimination and Localization of Multimodal Remote Sensing Images Using CNN-Based Prediction of Localization Uncertainty. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (Remote. Sens., 2020)

Estimation of Variance and Spatial Correlation Width for Fine-Scale Measurement Error in Digital Elevation Model. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (IEEE Trans. Geosci. 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)

Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network. - Mykhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (Sensors, 2022)