Automatic image-enhancement method. - Kacem Chehdi (Visual Information Processing, 1993)

Edge-detection method using visual perception. - Kacem Chehdi; Qing-Min Liao (Visual Information Processing, 1993)

Identification d'images dégradées par un bruit additif ou multiplicatif. - Lionel Beaurepaire; Kacem Chehdi (EUSIPCO, 1996)

Unsupervised texture segmentation using 2-D AR modeling and a stochastic version of the EM procedure. - Claude Cariou; Kacem Chehdi (EUSIPCO, 1996)

Identification of the nature of noise and estimation of its statistical parameters by analysis of local histograms. - Lionel Beaurepaire; Kacem Chehdi; Benoît Vozel (ICASSP, 1997)

Recognition of rotated and scaled textures using 2-D AR modeling and the Fourier-Mellin transform. - Claude Cariou; Olivier Alata; Christophe Rosenberger; Jean-Marc Ogier; Kacem Chehdi (EUSIPCO, 1998)

A comparative study between parametric blur estimation methods. - Sophie Chardon; Benoît Vozel; Kacem Chehdi (ICASSP, 1999)

Texture analysis of an image by using a rotation-invariant model. - Christophe Rosenberger; Kacem Chehdi; Claude Cariou; Jean-Marc Ogier (ICASSP, 1999)

Parametric Blur Estimation Using the Generalized Cross-Validation Criterion and a Smoothness Constraint on the Image. - Sophie Chardon; Benoît Vozel; Kacem Chehdi (Multidimens. Syst. Signal Process., 1999)

Blind identification of degradations using ascendant hierarchical classification. - Kacem Chehdi; Benoît Vozel; Marie-Paule Carton-Vandecandelaere; Nathalie Berric (EUSIPCO, 2000)

Rotation invariant texture analysis: A comparative study. - Christophe Rosenberger; Claude Cariou; Kacem Chehdi (EUSIPCO, 2000)

Genetic fusion: application to multi-components image segmentation. - Christophe Rosenberger; Kacem Chehdi (ICASSP, 2000)

Multi-Bands Image Segmentation: A Scalar Approach. - Chafik Kermad; Kacem Chehdi (ICIP, 2000)

A Blind Restoration System of Blurred and Noisy Numerical Images. - Benoît Vozel; Kacem Chehdi; Marie-Paule Carton-Vandecandelaere (ICIP, 2000)

Unsupervised Clustering Method with Optimal Estimation of the Number of Clusters: Application to Image Segmentation. - Christophe Rosenberger; Kacem Chehdi (ICPR, 2000)

Segmentation of fractal objects: Application to the measure of algae deposit density in the 'green tide' phenomenon. - Claude Cariou; Kacem Chehdi (EUSIPCO, 2002)

Application to multispectral images of a blind identification system for blur, additive, multiplicative and impulse noises. - Marie-Paule Carton-Vandecandelaere; Benoît Vozel; Luc Klaine; Kacem Chehdi (EUSIPCO, 2002)

Automatic image segmentation system through iterative edge - region co-operation. - Chafik Kermad; Kacem Chehdi (Image Vis. Comput., 2002)

Adaptive filtering of multiplicative noise by a new differential method. - Luc Klaine; Benoît Vozel; Kacem Chehdi (ISSPA (1), 2003)

Toward a complete adaptive analysis of an image. - Christophe Rosenberger; Kacem Chehdi (J. Electronic Imaging, 2003)

Unsupervised variational classification through image multi-thresholding. - Luc Klaine; Benoît Vozel; Kacem Chehdi (EUSIPCO, 2005)

Gravitational Transform for Data Clustering - Application to Multicomponent Image Classification. - Claude Cariou; Kacem Chehdi; Arnault Nagle (ICASSP (2), 2005)

An integro-differential method for adaptive filtering of additive or multiplicative noise. - Luc Klaine; Benoît Vozel; Kacem Chehdi (ICASSP (2), 2005)

Varational method using the Kuan filtering approach for the restoration of blurred images with multiplicative noise. - Luc Klaine; Benoît Vozel; Kacem Chehdi (ISSPA, 2005)

Hybrid Sigma Filter for Processing Images Corrupted by Multiplicative Noise. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Karen O. Egiazarian; Jaakko Astola; Benoît Vozel; Kacem Chehdi (ACIVS, 2006)

Semi-Rigid Registration of Remote Sensing Airborne Scanner Images. - Claude Cariou; Kacem Chehdi (ICASSP (2), 2006)

Processing Multichannel Radar Images by Modified Vector Sigma Fukter FIR Edge Detectuib Ebgabcement. - Vladimir V. Lukin; Oleg V. Tsymbal; Benoît Vozel; Kacem Chehdi (ICASSP (2), 2006)

Noise Identification and Estimation of its Statistical Parameters by Using Unsupervised Variational Classification. - Benoît Vozel; Kacem Chehdi; Luc Klaine; Vladimir V. Lukin; Sergey K. Abramov (ICASSP (2), 2006)

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)

Non Parametric Stochastic Expectation Maximization for Data Clustering. - Gilles Bougenière; Claude Cariou; Kacem Chehdi; Alan Gay (ICETE (Selected Papers), 2007)

Unsupervised Non Parametric Data Clustering by Means of Bayesian Inference and Information Theory. - Gilles Bougenière; Claude Cariou; Kacem Chehdi; Alan Gay (SIGMAP, 2007)

Adaptive and Cooperative Segmentation System for Mono- and Multi-Component Images. - Madjid Moghrani; Claude Cariou; Kacem Chehdi (SIGMAP, 2007)

Image Restoration - A New Explicit Approach in Filtering and Restoration of Digital Images. - Pejman Rahmani; Benoît Vozel; Kacem Chehdi (SIGMAP, 2007)

Multicomponent Image Segmentation Using a Genetic Algorithm and Artificial Neural Network. - Mohamad M. Awad; Kacem Chehdi; Ahmad H. Nasri (IEEE Geosci. Remote. Sens. Lett., 2007)

Sequential Blind PSF Estimation and Restoration of Aerial Multispectral Images. - Pejman Rahmani; Benoît Vozel; Kacem Chehdi (ACIVS, 2008)

Fully automated mosaicking of pushbroom aerial imagery. - Claude Cariou; Kacem Chehdi (ICASSP, 2008)

Unsupervised texture segmentation/classification using 2-D autoregressive modeling and the stochastic expectation-maximization algorithm. - Claude Cariou; Kacem Chehdi (Pattern Recognit. Lett., 2008)

Automatic Georeferencing of Airborne Pushbroom Scanner Images With Missing Ancillary Data Using Mutual Information. - Claude Cariou; Kacem Chehdi (IEEE Trans. Geosci. Remote. Sens., 2008)

Multi-component image segmentation using a hybrid dynamic genetic algorithm and fuzzy C-means. - Mohamad M. Awad; Kacem Chehdi; Ahmad H. Nasri (IET Image Process., 2009)

Satellite image segmentation using hybrid variable genetic algorithm. - Mohamad M. Awad; Kacem Chehdi (Int. J. Imaging Syst. Technol., 2009)

Improved method for blind estimation of the variance of mixed noise using weighted LMS line fitting algorithm. - Sergey K. Abramov; Victoriya Zabrodina; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi; Jaakko Astola (ISCAS, 2010)

Blind estimation of mixed noise parameters in images using robust regression curve fitting. - Victoria Zabrodina; Sergey K. Abramov; Vladimir V. Lukin; Jaakko Astola; Benoît Vozel; Kacem Chehdi (EUSIPCO, 2011)

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)

BandClust: An Unsupervised Band Reduction Method for Hyperspectral Remote Sensing. - Claude Cariou; Kacem Chehdi; Steven Le Moan (IEEE Geosci. Remote. Sens. Lett., 2011)

A New Color Image Database TID2013: Innovations and Results. - Nikolay N. Ponomarenko; Oleg Ieremeiev; Vladimir V. Lukin; Lina Jin; Karen O. Egiazarian; Jaakko Astola; Benoît Vozel; Kacem Chehdi; Marco Carli; Federica Battisti; C.-C. Jay Kuo (ACIVS, 2013)

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)

Color image database TID2013: Peculiarities and preliminary results. - Nikolay N. Ponomarenko; Oleg Ieremeiev; Vladimir V. Lukin; Karen O. Egiazarian; Lina Jin; Jaakko Astola; Benoît Vozel; Kacem Chehdi; Marco Carli; Federica Battisti; C.-C. Jay Kuo (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)

Image visual quality metrics verification by TID2013: Exploring of mean square error drawbacks. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Oleg Ieremeiev; Benoît Vozel; Kacem Chehdi; Karen O. Egiazarian; Jaakko Astola (EUVIP, 2014)

An Unsupervised Nonparametric and Cooperative Approach for Classification of Multicomponent Image Contents. - Akar Taher; Kacem Chehdi; Claude Cariou (ICPRAM, 2014)

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)

Compression ratio prediction in lossy compression of noisy images. - Alexander N. Zemliachenko; Sergey K. Abramov; 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)

Stable and unsupervised fuzzy C-means method and its validation in the context of multicomponent images. - Kacem Chehdi; Akar Taher; Claude Cariou (J. Electronic Imaging, 2015)

Unsupervised Nearest Neighbors Clustering With Application to Hyperspectral Images. - Claude Cariou; Kacem Chehdi (IEEE J. Sel. Top. Signal Process., 2015)

Image database TID2013: Peculiarities, results and perspectives. - Nikolay N. Ponomarenko; Lina Jin; Oleg Ieremeiev; Vladimir V. Lukin; Karen O. Egiazarian; Jaakko Astola; Benoît Vozel; Kacem Chehdi; Marco Carli; Federica Battisti; C.-C. Jay Kuo (Signal Process. Image Commun., 2015)

Automatic lossy compression of noisy images by spiht or jpeg2000 in optimal operation point neighborhood. - Vladimir V. Lukin; Alexander N. Zemliachenko; Sergey K. Abramov; Benoît Vozel; Kacem Chehdi (EUVIP, 2016)

A new k-nearest neighbor density-based clustering method and its application to hyperspectral images. - Claude Cariou; Kacem Chehdi (IGARSS, 2016)

Improved compression ratio prediction in DCT-based lossy compression of remote sensing images. - Alexander N. Zemliachenko; Sergey K. Abramov; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi (IGARSS, 2016)

Regional prediction of soil organic carbon content over temperate croplands using visible near-infrared airborne hyperspectral imagery and synchronous field spectra. - Emmanuelle Vaudour; Jean-Marc Gilliot; Liliane Bel; Josias Lefevre; Kacem Chehdi (Int. J. Appl. Earth Obs. Geoinformation, 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)

Prediction of Compression Ratio for DCT-Based Coders With Application to Remote Sensing Images. - Alexander N. Zemliachenko; Ruslan A. Kozhemiakin; Sergey K. Abramov; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi; Karen O. Egiazarian (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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)

Improved Nearest Neighbor Density-Based Clustering Techniques with Application to Hyperspectral Images. - Claude Cariou; Kacem Chehdi; Steven Le Moan (ICASSP, 2020)

Improving K-Nearest Neighbor Approaches for Density-Based Pixel Clustering in Hyperspectral Remote Sensing Images. - Claude Cariou; Steven Le Moan; Kacem Chehdi (Remote. Sens., 2020)

Lossy Compression of Multichannel Remote Sensing Images with Quality Control. - Vladimir V. Lukin; Irina V. Vasilyeva; Sergey S. Krivenko; Fangfang Li 003; Sergey K. Abramov; Oleksii S. Rubel; Benoît Vozel; Kacem Chehdi; Karen O. Egiazarian (Remote. Sens., 2020)

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)

Similarity Measure with Additional Modality Information for Multimodal Remote Sensing Images. - Mykhail M. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (IGARSS, 2021)

Hierarchical Unsupervised Partitioning of Large Size Data and Its Application to Hyperspectral Images. - Jihan Alameddine; Kacem Chehdi; Claude Cariou (Remote. Sens., 2021)

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)

Unsupervised and Automatic Training Samples Selection Method. - Jihan Alameddine; Kacem Chehdi; Claude Cariou (IGARSS, 2022)

Lossy Compression of Three-Channel Remote Sensing Images with "Color" Component Downscaling. - Viktor O. Makarichev; Galina Proskura; Oleksii S. Rubel; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi (IGARSS, 2022)

Improvement of Spatial Localization Accuracy in Learning-Based Patch Matching Using Anisotropic Fractal Brownian Motion Data. - Mykhail M. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (IGARSS, 2022)

Data Stream Unsupervised Partitioning Method. - Yuding Wang; Kacem Chehdi; Claude Cariou; Benoît Vozel (IGARSS, 2022)

A Novel Mean-Shift Algorithm for Data Clustering. - Claude Cariou; Steven Le Moan; Kacem Chehdi (IEEE Access, 2022)

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)

Partitioning of Hyperspectral Images in Main Categories and Fine Classes. - Jihan Alameddine; Kacem Chehdi; Claude Cariou (IGARSS, 2023)

Blind Hyperspectral Image Restoration. - Fabio El Samrani; Kacem Chehdi (IGARSS, 2023)

Data Stream Unsupervised Partitioning Based on Optimized Fuzzy C-Means. - Yuding Wang; Kacem Chehdi; Claude Cariou; Benoît Vozel (IGARSS, 2023)