Benoît Vozel

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 34

Top Topics

Lossy Compression

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Sergii S. Kryvenko, Vladimir Lukin, Benoît Vozel
Lossy Compression of Single-channel Noisy Images by Modern Coders. Remote. Sens. 16 (12) (2024)
Yuding Wang, Kacem Chehdi, Claude Cariou, Benoît Vozel
Data Stream Unsupervised Partitioning Based on Optimized Fuzzy C-Means. IGARSS (2023)
Bogdan Kovalenko, Vladimir V. Lukin, Benoît Vozel
BPG-Based Lossy Compression of Three-Channel Noisy Images with Prediction of Optimal Operation Existence and Its Parameters. Remote. Sens. 15 (6) (2023)
Oleg Ieremeiev, Vladimir V. Lukin, Krzysztof Okarma, Karen O. Egiazarian, Benoît Vozel
On properties of visual quality metrics in remote sensing applications. Image Processing: Algorithms and Systems (2022)
Viktor Makarichev, Irina V. Vasilyeva, Vladimir V. Lukin, Benoît Vozel, Andrii Shelestov, Nataliia Kussul
Discrete Atomic Transform-Based Lossy Compression of Three-Channel Remote Sensing Images with Quality Control. Remote. Sens. 14 (1) (2022)
Viktor O. Makarichev, Vladimir V. Lukin, Iryna V. Brysina, Benoît Vozel
Spatial Complexity Reduction in Remote Sensing Image Compression by Atomic Functions. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Mykhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network. Sensors 22 (3) (2022)
Mykhail M. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
Improvement of Spatial Localization Accuracy in Learning-Based Patch Matching Using Anisotropic Fractal Brownian Motion Data. IGARSS (2022)
Yuding Wang, Kacem Chehdi, Claude Cariou, Benoît Vozel
Data Stream Unsupervised Partitioning Method. IGARSS (2022)
Viktor O. Makarichev, Galina Proskura, Oleksii S. Rubel, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi
Lossy Compression of Three-Channel Remote Sensing Images with "Color" Component Downscaling. IGARSS (2022)
Mikhail L. Uss, Benoît Vozel, Sergey K. Abramov, Kacem Chehdi
Selection of a Similarity Measure Combination for a Wide Range of Multimodal Image Registration Cases. IEEE Trans. Geosci. Remote. Sens. 59 (1) (2021)
Mykhail M. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
Similarity Measure with Additional Modality Information for Multimodal Remote Sensing Images. IGARSS (2021)
Benoît Vozel, Vladimir V. Lukin, Joan Serra-Sagristà
Editorial to Special Issue "Remote Sensing Data Compression". Remote. Sens. 13 (18) (2021)
Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
Efficient Discrimination and Localization of Multimodal Remote Sensing Images Using CNN-Based Prediction of Localization Uncertainty. Remote. Sens. 12 (4) (2020)
Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
Estimation of Variance and Spatial Correlation Width for Fine-Scale Measurement Error in Digital Elevation Model. IEEE Trans. Geosci. Remote. Sens. 58 (3) (2020)
Vladimir V. Lukin, Irina V. Vasilyeva, Sergey S. Krivenko, Fangfang Li, Sergey K. Abramov, Oleksii S. Rubel, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian
Lossy Compression of Multichannel Remote Sensing Images with Quality Control. Remote. Sens. 12 (22) (2020)
Benoît Vozel, Vladimir V. Lukin, Yakoub Bazi
Editorial to Special Issue "Multispectral Image Acquisition, Processing, and Analysis". Remote. Sens. 11 (19) (2019)
Sergey K. Abramov, Mikhail L. Uss, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian
Enhancement of Component Images of Multispectral Data by Denoising with Reference. Remote. Sens. 11 (6) (2019)
Alexander N. Zemliachenko, Ruslan A. Kozhemiakin, Sergey K. Abramov, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian
Prediction of Compression Ratio for DCT-Based Coders With Application to Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (1) (2018)
Mo Zhang, Benoît Vozel, Kacem Chehdi, Mykhail L. Uss, Sergey K. Abramov, Vladimir V. Lukin
Hyperspectral Image Restoration Based on Salient Edges. IGARSS (2018)
Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
NoiseNet: Signal-Dependent Noise Variance Estimation with Convolutional Neural Network. ACIVS (2018)
Alexander N. Zemliachenko, Vladimir V. Lukin, Igor Djurovic, Benoît Vozel
On potential to improve DCT-based denoising with local threshold. MECO (2018)
Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
Combined Use of Multimodal Similarity Measures for Visual to Radar Image Registration. IGARSS (2018)
Oleksii S. Rubel, Vladimir V. Lukin, Sergey K. Abramov, Benoît Vozel, Oleksiy B. Pogrebnyak, Karen O. Egiazarian
Is Texture Denoising Efficiency Predictable? Int. J. Pattern Recognit. Artif. Intell. 32 (1) (2018)
Mykhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
Estimation of Variance and Spatial Correlation Width for Fine-scale Measurement Error in Digital Elevation Model. CoRR (2018)
Victoriya Abramova, Sergey K. Abramov, Vladimir V. Lukin, Igor Djurovic, Marko Simeunovic, Benoît Vozel
Blind evaluation of noise characteristics in multi-channel images exploiting inter-channel correlation. MECO (2017)
Vladimir V. Lukin, Alexander N. Zemliachenko, Sergey K. Abramov, Benoît Vozel, Kacem Chehdi
Automatic lossy compression of noisy images by spiht or jpeg2000 in optimal operation point neighborhood. EUVIP (2016)
Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
Efficient Rotation-Scaling-Translation Parameter Estimation Based on the Fractal Image Model. IEEE Trans. Geosci. Remote. Sens. 54 (1) (2016)
Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
Multimodal Remote Sensing Image Registration With Accuracy Estimation at Local and Global Scales. IEEE Trans. Geosci. Remote. Sens. 54 (11) (2016)
Oleksii S. Rubel, Vladimir V. Lukin, Sergey K. Abramov, Benoît Vozel, Karen O. Egiazarian, Oleksiy B. Pogrebnyak
Efficiency of texture image filtering and its prediction. Signal Image Video Process. 10 (8) (2016)
Aleksey Rubel, Vladimir V. Lukin, Mikhail L. Uss, Benoît Vozel, Oleksiy B. Pogrebnyak, Karen O. Egiazarian
Efficiency of texture image enhancement by DCT-based filtering. Neurocomputing 175 (2016)
Ruslan A. Kozhemiakin, Sergey K. Abramov, Vladimir Badenko, Blazo Djurovic, Igor Djurovic, Benoît Vozel
Lossy compression of Landsat multispectral images. MECO (2016)
Alexander N. Zemliachenko, Sergey K. Abramov, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi
Improved compression ratio prediction in DCT-based lossy compression of remote sensing images. IGARSS (2016)
Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
Multimodal Remote Sensing Image Registration with Accuracy Estimation at Local and Global Scales. CoRR (2016)
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
Image database TID2013: Peculiarities, results and perspectives. Signal Process. Image Commun. 30 (2015)
Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
Efficient Rotation-Scaling-Translation Parameters Estimation in Multimodal Settings Based on Fractal Image Model. CoRR (2015)
Sergey K. Abramov, Mykhail L. Uss, Victoriya V. Abramova, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi
On noise properties in hyperspectral images. IGARSS (2015)
Ruslan A. Kozhemiakin, Sergey K. Abramov, Vladimir V. Lukin, Igor Djurovic, Benoît Vozel
Peculiarities of 3D compression of noisy multichannel images. MECO (2015)
Alexander N. Zemliachenko, Sergey K. Abramov, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi
Compression ratio prediction in lossy compression of noisy images. IGARSS (2015)
Mikhail L. Uss, Benoît Vozel, Vitaliy A. Dushepa, Vladimir A. Komjak, Kacem Chehdi
A Precise Lower Bound on Image Subpixel Registration Accuracy. IEEE Trans. Geosci. Remote. Sens. 52 (6) (2014)
Nikolay N. Ponomarenko, Vladimir V. Lukin, Oleg Ieremeiev, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian, Jaakko Astola
Image visual quality metrics verification by TID2013: Exploring of mean square error drawbacks. EUVIP (2014)
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
A New Color Image Database TID2013: Innovations and Results. ACIVS (2013)
Mykhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
Image informative maps for component-wise estimating parameters of signal-dependent noise. J. Electronic Imaging 22 (1) (2013)
Sergey K. Abramov, Victoriya Abramova, Mikhail L. Uss, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi
Blind estimation of signal-dependent noise parameters for color image database. EUVIP (2013)
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
Color image database TID2013: Peculiarities and preliminary results. EUVIP (2013)
Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Igor Baryshev, Kacem Chehdi
Image noise-informative map for noise standard deviation estimation. ICASSP (2011)
Victoria Zabrodina, Sergey K. Abramov, Vladimir V. Lukin, Jaakko Astola, Benoît Vozel, Kacem Chehdi
Blind estimation of mixed noise parameters in images using robust regression curve fitting. EUSIPCO (2011)
Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
Local Signal-Dependent Noise Variance Estimation From Hyperspectral Textural Images. IEEE J. Sel. Top. Signal Process. 5 (3) (2011)
Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Sergey K. Abramov, Igor Baryshev, Kacem Chehdi
Image Informative Maps for Estimating Noise Standard Deviation and Texture Parameters. EURASIP J. Adv. Signal Process. 2011 (2011)
Sergey K. Abramov, Victoriya Zabrodina, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi, Jaakko Astola
Improved method for blind estimation of the variance of mixed noise using weighted LMS line fitting algorithm. ISCAS (2010)
Pejman Rahmani, Benoît Vozel, Kacem Chehdi
Sequential Blind PSF Estimation and Restoration of Aerial Multispectral Images. ACIVS (2008)
Mikhail L. Uss, Vladimir V. Lukin, Sergey K. Abramov, Benoît Vozel, Kacem Chehdi
Joint Estimation of Multiplicative and Impulsive Noise Parameters in Remote Sensing Images with Fractal Structure. ICASSP (1) (2007)
Pejman Rahmani, Benoît Vozel, Kacem Chehdi
Image Restoration - A New Explicit Approach in Filtering and Restoration of Digital Images. SIGMAP (2007)
Benoît Vozel, Kacem Chehdi, Luc Klaine, Vladimir V. Lukin, Sergey K. Abramov
Noise Identification and Estimation of its Statistical Parameters by Using Unsupervised Variational Classification. ICASSP (2) (2006)
Vladimir V. Lukin, Oleg V. Tsymbal, Benoît Vozel, Kacem Chehdi
Processing Multichannel Radar Images by Modified Vector Sigma Fukter FIR Edge Detectuib Ebgabcement. ICASSP (2) (2006)
Nikolay N. Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko Astola, Benoît Vozel, Kacem Chehdi
Hybrid Sigma Filter for Processing Images Corrupted by Multiplicative Noise. ACIVS (2006)
Luc Klaine, Benoît Vozel, Kacem Chehdi
An integro-differential method for adaptive filtering of additive or multiplicative noise. ICASSP (2) (2005)
Luc Klaine, Benoît Vozel, Kacem Chehdi
Unsupervised variational classification through image multi-thresholding. EUSIPCO (2005)
Luc Klaine, Benoît Vozel, Kacem Chehdi
Varational method using the Kuan filtering approach for the restoration of blurred images with multiplicative noise. ISSPA (2005)
Luc Klaine, Benoît Vozel, Kacem Chehdi
Adaptive filtering of multiplicative noise by a new differential method. ISSPA (1) (2003)
Marie-Paule Carton-Vandecandelaere, Benoît Vozel, Luc Klaine, Kacem Chehdi
Application to multispectral images of a blind identification system for blur, additive, multiplicative and impulse noises. EUSIPCO (2002)
Kacem Chehdi, Benoît Vozel, Marie-Paule Carton-Vandecandelaere, Nathalie Berric
Blind identification of degradations using ascendant hierarchical classification. EUSIPCO (2000)
Benoît Vozel, Kacem Chehdi, Marie-Paule Carton-Vandecandelaere
A Blind Restoration System of Blurred and Noisy Numerical Images. ICIP (2000)
Sophie Chardon, Benoît Vozel, Kacem Chehdi
A comparative study between parametric blur estimation methods. ICASSP (1999)
Sophie Chardon, Benoît Vozel, Kacem Chehdi
Parametric Blur Estimation Using the Generalized Cross-Validation Criterion and a Smoothness Constraint on the Image. Multidimens. Syst. Signal Process. 10 (4) (1999)
Lionel Beaurepaire, Kacem Chehdi, Benoît Vozel
Identification of the nature of noise and estimation of its statistical parameters by analysis of local histograms. ICASSP (1997)