Uss Mykhail
Uss Mykhail
National Aerospace University (KhAI), Dept. Transmitters, Receivers and Signal Processing
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Cited by
Local signal-dependent noise variance estimation from hyperspectral textural images
ML Uss, B Vozel, VV Lukin, K Chehdi
IEEE Journal of Selected Topics in Signal Processing 5 (3), 469-486, 2011
Image informative maps for component-wise estimating parameters of signal-dependent noise
ML Uss, B Vozel, VV Lukin, K Chehdi
Journal of Electronic Imaging 22 (1), 013019, 2013
Methods and automatic procedures for processing images based on blind evaluation of noise type and characteristics
VV Lukin, SK Abramov, NN Ponomarenko, ML Uss, MS Zriakhov, B Vozel, ...
Journal of applied remote sensing 5 (1), 053502, 2011
Lossy compression of hyperspectral images based on noise parameters estimation and variance stabilizing transform
AN Zemliachenko, RA Kozhemiakin, ML Uss, SK Abramov, ...
Journal of applied remote sensing 8 (1), 083571, 2014
Image informative maps for estimating noise standard deviation and texture parameters
M Uss, B Vozel, V Lukin, S Abramov, I Baryshev, K Chehdi
EURASIP Journal on Advances in Signal Processing 2011, 1-12, 2011
Maximum likelihood estimation of spatially correlated signal-dependent noise in hyperspectral images
ML Uss, B Vozel, K Chehdi, VV Lukin
Optical Engineering 51 (11), 111712, 2012
A precise lower bound on image subpixel registration accuracy
ML Uss, B Vozel, VA Dushepa, VA Komjak, K Chehdi
IEEE transactions on geoscience and remote sensing 52 (6), 3333-3345, 2013
Efficiency of texture image enhancement by DCT-based filtering
A Rubel, V Lukin, M Uss, B Vozel, O Pogrebnyak, K Egiazarian
Neurocomputing 175, 948-965, 2016
Performance analys of segmentation-based method for blind evaluation of additive noise in images
VV Lukin, SK Abramov, B Vozel, M Uss, K Chehdi
2010 international Kharkov symposium on physics and engineering of …, 2010
Blind methods for noise evaluation in multi-component images
B Vozel, S Abramov, K Chehdi, V Lukin, N Ponomarenko, M Uss, J Astola
Multivariate image processing, 263-295, 2009
Multimodal remote sensing image registration with accuracy estimation at local and global scales
ML Uss, B Vozel, VV Lukin, K Chehdi
IEEE Transactions on Geoscience and Remote Sensing 54 (11), 6587-6605, 2016
Testing of methods for blind estimation of noise variance on large image database
VV Lukin, SK Abramov, ML Uss, IA Marusiy, NN Ponomarenko, ...
Theoretical and Practical Aspects of Digital Signal Processing in …, 2009
Potential MSE of color image local filtering in component-wise and vector cases
ML Uss, B Vozel, VV Lukin, K Chehdi
2011 11th International Conference The Experience of Designing and …, 2011
DCT-Based Color Image Denoising: Efficiency Analysis and Prediction
V Lukin, S Abramov, R Kozhemiakin, A Rubel, M Uss, N Ponomarenko, ...
Color Image and Video Enhancement, 55-80, 2015
Processing of images based on blind evaluation of noise type and characteristics
VV Lukin, SK Abramov, NN Ponomarenko, ML Uss, B Vozel, K Chehdi, ...
Image and Signal Processing for Remote Sensing XV 7477, 84-95, 2009
Efficient discrimination and localization of multimodal remote sensing images using CNN-based prediction of localization uncertainty
M Uss, B Vozel, V Lukin, K Chehdi
Remote Sensing 12 (4), 703, 2020
Joint estimation of additive and impulsive noise parameters in remote sensing images with fractal structure
M Uss, V Lukin, I Baryshev, B Vozel, K Chehdi
2006 International Conference-Modern Problems of Radio Engineering …, 2006
NoiseNet: Signal-dependent noise variance estimation with convolutional neural network
M Uss, B Vozel, V Lukin, K Chehdi
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2018
On noise properties in hyperspectral images
SK Abramov, ML Uss, VV Abramova, VV Lukin, B Vozel, K Chehdi
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
Enhancement of Component Images of Multispectral Data by Denoising with Reference
S Abramov, M Uss, V Lukin, B Vozel, K Chehdi, K Egiazarian
Remote Sensing 11 (6), 611, 2019
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