Detection of human reflex response time-delay to a stretch muscular perturbation. - Philippe Poignet; Michel Guglielmi; Benoît Vozel; I. Richard (ICASSP, 1995)

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)

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

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

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)

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

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

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)

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

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

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)

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)

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)

Peculiarities of 3D compression of noisy multichannel images. - Ruslan A. Kozhemiakin; Sergey K. Abramov; Vladimir V. Lukin; Igor Djurovic; Benoît Vozel (MECO, 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)

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)

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)

Lossy compression of Landsat multispectral images. - Ruslan A. Kozhemiakin; Sergey K. Abramov; Vladimir Badenko; Blazo Djurovic; Igor Djurovic; Benoît Vozel (MECO, 2016)

Efficiency of texture image enhancement by DCT-based filtering. - Aleksey Rubel; Vladimir V. Lukin; Mikhail L. Uss; Benoît Vozel; Oleksiy B. Pogrebnyak; Karen O. Egiazarian (Neurocomputing, 2016)

Efficiency of texture image filtering and its prediction. - Oleksii S. Rubel; Vladimir V. Lukin; Sergey K. Abramov; Benoît Vozel; Karen O. Egiazarian; Oleksiy B. Pogrebnyak (Signal Image Video Process., 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)

Blind evaluation of noise characteristics in multi-channel images exploiting inter-channel correlation. - Victoriya Abramova; Sergey K. Abramov; Vladimir V. Lukin; Igor Djurovic; Marko Simeunovic; Benoît Vozel (MECO, 2017)

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)

On potential to improve DCT-based denoising with local threshold. - Alexander N. Zemliachenko; Vladimir V. Lukin; Igor Djurovic; Benoît Vozel (MECO, 2018)

Is Texture Denoising Efficiency Predictable? - Oleksii S. Rubel; Vladimir V. Lukin; Sergey K. Abramov; Benoît Vozel; Oleksiy B. Pogrebnyak; Karen O. Egiazarian (Int. J. Pattern Recognit. Artif. Intell., 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)

Editorial to Special Issue "Multispectral Image Acquisition, Processing, and Analysis". - Benoît Vozel; Vladimir V. Lukin; Yakoub Bazi (Remote. Sens., 2019)

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)

Editorial to Special Issue "Remote Sensing Data Compression". - Benoît Vozel; Vladimir V. Lukin; Joan Serra-Sagristà (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)

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)

On properties of visual quality metrics in remote sensing applications. - Oleg Ieremeiev; Vladimir V. Lukin; Krzysztof Okarma; Karen O. Egiazarian; Benoît Vozel (Image Processing: Algorithms and Systems, 2022)

Spatial Complexity Reduction in Remote Sensing Image Compression by Atomic Functions. - Viktor O. Makarichev; Vladimir V. Lukin; Iryna V. Brysina; Benoît Vozel (IEEE Geosci. Remote. Sens. Lett., 2022)

Discrete Atomic Transform-Based Lossy Compression of Three-Channel Remote Sensing Images with Quality Control. - Viktor O. Makarichev; Irina V. Vasilyeva; Vladimir V. Lukin; Benoît Vozel; Andrii Shelestov; Nataliia Kussul (Remote. Sens., 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)

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

BPG-Based Lossy Compression of Three-Channel Noisy Images with Prediction of Optimal Operation Existence and Its Parameters. - Bogdan Kovalenko; Vladimir V. Lukin; Benoît Vozel (Remote. Sens., 2023)

Guest Editorial: Special issue on intelligence technology for remote sensing image. - Xiangtao Zheng; Benoît Vozel; Danfeng Hong (CAAI Trans. Intell. Technol., 2023)

Editorial to Special Issue "Multispectral Image Acquisition, Processing and Analysis - 2nd Edition". - Benoît Vozel; Vladimir Lukin 001; Yakoub Bazi (Remote. Sens., 2024)

Lossy Compression of Single-channel Noisy Images by Modern Coders. - Sergii S. Kryvenko; Vladimir Lukin 001; Benoît Vozel (Remote. Sens., 2024)