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Chehdi Kacem
Chehdi Kacem
Подтвержден адрес электронной почты в домене univ-rennes1.fr - Главная страница
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Год
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
12192015
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
5972013
Multicomponent image segmentation using a genetic algorithm and artificial neural network
M Awad, K Chehdi, A Nasri
IEEE Geoscience and remote sensing letters 4 (4), 571-575, 2007
1282007
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
1232011
Unsupervised clustering method with optimal estimation of the number of clusters: Application to image segmentation
C Rosenberger, K Chehdi
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000
1112000
BandClust: An unsupervised band reduction method for hyperspectral remote sensing
C Cariou, K Chehdi, S Le Moan
IEEE Geoscience and Remote Sensing Letters 8 (3), 565-569, 2010
1002010
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
982013
Regional prediction of soil organic carbon content over temperate croplands using visible near-infrared airborne hyperspectral imagery and synchronous field spectra
E Vaudour, JM Gilliot, L Bel, J Lefevre, K Chehdi
International Journal of applied earth observation and geoinformation 49, 24-38, 2016
902016
Genetic fusion: application to multi-components image segmentation
C Rosenberger, K Chehdi
2000 IEEE International Conference on Acoustics, Speech, and Signal …, 2000
842000
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
742013
Unsupervised nearest neighbors clustering with application to hyperspectral images
C Cariou, K Chehdi
IEEE Journal of Selected Topics in Signal Processing 9 (6), 1105-1116, 2015
712015
Automatic image segmentation system through iterative edge–region co-operation
CD Kermad, K Chehdi
Image and Vision Computing 20 (8), 541-555, 2002
672002
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
651997
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
622014
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
552011
Multi-component image segmentation using a hybrid dynamic genetic algorithm and fuzzy C-means
M Awad, K Chehdi, A Nasri
IET image processing 3 (2), 52-62, 2009
522009
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
A new k-nearest neighbor density-based clustering method and its application to hyperspectral images
C Cariou, K Chehdi
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016
462016
A new approach to identify the nature of the noise affecting an image
K Chehdi, M Sabri
Acoustics, Speech, and Signal Processing, IEEE International Conference on 3 …, 1992
441992
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