Benoit Vozel
Benoit Vozel
IETR UMR CNRS 6164 / University of Rennes 1 - Enssat
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Image database TID2013: Peculiarities, results and perspectives
N Ponomarenko, L Jin, O Ieremeiev, V Lukin, K Egiazarian, J Astola, ...
Signal processing: Image communication 30, 57-77, 2015
Color image database TID2013: Peculiarities and preliminary results
N Ponomarenko, O Ieremeiev, V Lukin, K Egiazarian, L Jin, J Astola, ...
European workshop on visual information processing (EUVIP), 106-111, 2013
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
A new color image database TID2013: Innovations and results
N Ponomarenko, O Ieremeiev, V Lukin, L Jin, K Egiazarian, J Astola, ...
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2013
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
Identification of the nature of noise and estimation of its statistical parameters by analysis of local histograms
L Beaurepaire, K Chehdi, B Vozel
1997 IEEE International Conference on Acoustics, Speech, and Signal …, 1997
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
Hyperspectral remote sensing of coral reefs by semi-analytical model inversion–Comparison of different inversion setups
T Petit, T Bajjouk, P Mouquet, S Rochette, B Vozel, C Delacourt
Remote Sensing of Environment 190, 348-365, 2017
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
Noise identification and estimation of its statistical parameters by using unsupervised variational classification
B Vozel, K Chehdi, L Klaine, VV Lukin, SK Abramov
2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006
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
Application to multispectral images of a blind identification system for blur, additive, multiplicative and impulse noises
MP Carton-Vandecandelaere, B Vozel, L Klaine, K Chehdi
2002 11th European Signal Processing Conference, 1-4, 2002
Lossy compression of noisy remote sensing images with prediction of optimal operation point existence and parameters
AN Zemliachenko, SK Abramov, VV Lukin, B Vozel, K Chehdi
Journal of Applied Remote Sensing 9 (1), 095066, 2015
Filtering of radar images based on blind evaluation of noise characteristics
VV Lukin, NN Ponomarenko, SK Abramov, B Vozel, K Chehdi, JT Astola
Image and Signal Processing for Remote Sensing XIV 7109, 225-236, 2008
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
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
Image DCT coefficient statistics and their use in blind noise variance estimation
D Kurkin, V Lukin, V Abramova, S Abramov, B Vozel, K Chehdi
2012 International Conference on Mathematical Methods in Electromagnetic …, 2012
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
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