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Benoit Vozel
Benoit Vozel
IETR UMR CNRS 6164 / University of Rennes 1 - Enssat
Verified email at univ-rennes1.fr
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Cited by
Cited by
Year
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
11532015
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
5692013
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
1212011
A new color image database TID2013: Innovations and results
N Ponomarenko, O Ieremeiev, V Lukin, L Jin, K Egiazarian, J Astola, ...
Advanced Concepts for Intelligent Vision Systems: 15th International, 2013
912013
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), 013019-013019, 2013
732013
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
631997
Hyperspectral remote sensing of coral reefs by semi-analytical model inversionComparison of different inversion setups
T Petit, T Bajjouk, P Mouquet, S Rochette, B Vozel, C Delacourt
Remote Sensing of Environment 190, 348-365, 2017
622017
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), 083571-083571, 2014
602014
Methods and automatic procedures for processing images based on blind evaluation of noise type and characteristics
VV Lukin, SK Abramov, NN Ponomarenko, ML Uss, M Zriakhov, B Vozel, ...
Journal of applied remote sensing 5 (1), 053502-053502-26, 2011
582011
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
532011
Maximum likelihood estimation of spatially correlated signal-dependent noise in hyperspectral images
ML Uss, B Vozel, VV Lukin, K Chehdi
Optical Engineering 51 (11), 111712-111712, 2012
492012
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
432006
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
412013
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), 095066-095066, 2015
382015
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
372002
Image quality prediction for DCT-based compression
R Kozhemiakin, V Lukin, B Vozel
2017 14th International Conference The Experience of Designing and, 2017
322017
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
322016
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
312008
Is Texture Denoising Efficiency Predictable?
O Rubel, V Lukin, S Abramov, B Vozel, O Pogrebnyak, K Egiazarian
International Journal of Pattern Recognition and Artificial Intelligence 32, 2018
302018
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
302016
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