Benoît Vozel - RankMe

69 papers B 5C 11Misc 4Journal 29Unranked 20

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Editorial to Special Issue "Multispectral Image Acquisition, Processing and Analysis - 2nd Edition". Remote. Sens. Benoît Vozel, Vladimir Lukin, Yakoub Bazi
2024	J	`jnl`	Lossy Compression of Single-channel Noisy Images by Modern Coders. Remote. Sens. Sergii S. Kryvenko, Vladimir Lukin, Benoît Vozel
2023	J	`jnl`	BPG-Based Lossy Compression of Three-Channel Noisy Images with Prediction of Optimal Operation Existence and Its Parameters. Remote. Sens. Bogdan Kovalenko, Vladimir V. Lukin, Benoît Vozel
2023	C	`conf`	Data Stream Unsupervised Partitioning Based on Optimized Fuzzy C-Means. IGARSS Yuding Wang, Kacem Chehdi, Claude Cariou, Benoît Vozel
2023	J	`jnl`	Guest Editorial: Special issue on intelligence technology for remote sensing image. CAAI Trans. Intell. Technol. Xiangtao Zheng, Benoît Vozel, Danfeng Hong
2022	C	`conf`	Data Stream Unsupervised Partitioning Method. IGARSS Yuding Wang, Kacem Chehdi, Claude Cariou, Benoît Vozel
2022	J	`jnl`	Discrete Atomic Transform-Based Lossy Compression of Three-Channel Remote Sensing Images with Quality Control. Remote. Sens. Viktor O. Makarichev, Irina V. Vasilyeva, Vladimir V. Lukin, Benoît Vozel, Andrii Shelestov, Nataliia Kussul
2022	J	`jnl`	Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network. Sensors Mykhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2022	C	`conf`	Improvement of Spatial Localization Accuracy in Learning-Based Patch Matching Using Anisotropic Fractal Brownian Motion Data. IGARSS Mykhail M. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2022	C	`conf`	Lossy Compression of Three-Channel Remote Sensing Images with "Color" Component Downscaling. IGARSS Viktor O. Makarichev, Galina Proskura, Oleksii S. Rubel, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi
2022	—	`conf`	On properties of visual quality metrics in remote sensing applications. Image Processing: Algorithms and Systems Oleg Ieremeiev, Vladimir V. Lukin, Krzysztof Okarma, Karen O. Egiazarian, Benoît Vozel
2022	J	`jnl`	Spatial Complexity Reduction in Remote Sensing Image Compression by Atomic Functions. IEEE Geosci. Remote. Sens. Lett. Viktor O. Makarichev, Vladimir V. Lukin, Iryna V. Brysina, Benoît Vozel
2021	J	`jnl`	Editorial to Special Issue "Remote Sensing Data Compression". Remote. Sens. Benoît Vozel, Vladimir V. Lukin, Joan Serra-Sagristà
2021	J	`jnl`	Selection of a Similarity Measure Combination for a Wide Range of Multimodal Image Registration Cases. IEEE Trans. Geosci. Remote. Sens. Mikhail L. Uss, Benoît Vozel, Sergey K. Abramov, Kacem Chehdi
2021	C	`conf`	Similarity Measure with Additional Modality Information for Multimodal Remote Sensing Images. IGARSS Mykhail M. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2020	J	`jnl`	Efficient Discrimination and Localization of Multimodal Remote Sensing Images Using CNN-Based Prediction of Localization Uncertainty. Remote. Sens. Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2020	J	`jnl`	Estimation of Variance and Spatial Correlation Width for Fine-Scale Measurement Error in Digital Elevation Model. IEEE Trans. Geosci. Remote. Sens. Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2020	J	`jnl`	Lossy Compression of Multichannel Remote Sensing Images with Quality Control. Remote. Sens. Vladimir V. Lukin, Irina V. Vasilyeva, Sergey S. Krivenko, Fangfang Li, Sergey K. Abramov, Oleksii S. Rubel, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian
2019	J	`jnl`	Editorial to Special Issue "Multispectral Image Acquisition, Processing, and Analysis". Remote. Sens. Benoît Vozel, Vladimir V. Lukin, Yakoub Bazi
2019	J	`jnl`	Enhancement of Component Images of Multispectral Data by Denoising with Reference. Remote. Sens. Sergey K. Abramov, Mikhail L. Uss, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian
2018	C	`conf`	Combined Use of Multimodal Similarity Measures for Visual to Radar Image Registration. IGARSS Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2018	J	`jnl`	Estimation of Variance and Spatial Correlation Width for Fine-scale Measurement Error in Digital Elevation Model. CoRR Mykhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2018	C	`conf`	Hyperspectral Image Restoration Based on Salient Edges. IGARSS Mo Zhang, Benoît Vozel, Kacem Chehdi, Mykhail L. Uss, Sergey K. Abramov, Vladimir V. Lukin
2018	J	`jnl`	Is Texture Denoising Efficiency Predictable? Int. J. Pattern Recognit. Artif. Intell. Oleksii S. Rubel, Vladimir V. Lukin, Sergey K. Abramov, Benoît Vozel, Oleksiy B. Pogrebnyak, Karen O. Egiazarian
2018	B	`conf`	NoiseNet: Signal-Dependent Noise Variance Estimation with Convolutional Neural Network. ACIVS Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2018	—	`conf`	On potential to improve DCT-based denoising with local threshold. MECO Alexander N. Zemliachenko, Vladimir V. Lukin, Igor Djurovic, Benoît Vozel
2018	J	`jnl`	Prediction of Compression Ratio for DCT-Based Coders With Application to Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Alexander N. Zemliachenko, Ruslan A. Kozhemiakin, Sergey K. Abramov, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian
2017	—	`conf`	Blind evaluation of noise characteristics in multi-channel images exploiting inter-channel correlation. MECO Victoriya Abramova, Sergey K. Abramov, Vladimir V. Lukin, Igor Djurovic, Marko Simeunovic, Benoît Vozel
2016	—	`conf`	Automatic lossy compression of noisy images by spiht or jpeg2000 in optimal operation point neighborhood. EUVIP Vladimir V. Lukin, Alexander N. Zemliachenko, Sergey K. Abramov, Benoît Vozel, Kacem Chehdi
2016	J	`jnl`	Efficiency of texture image enhancement by DCT-based filtering. Neurocomputing Aleksey Rubel, Vladimir V. Lukin, Mikhail L. Uss, Benoît Vozel, Oleksiy B. Pogrebnyak, Karen O. Egiazarian
2016	J	`jnl`	Efficiency of texture image filtering and its prediction. Signal Image Video Process. Oleksii S. Rubel, Vladimir V. Lukin, Sergey K. Abramov, Benoît Vozel, Karen O. Egiazarian, Oleksiy B. Pogrebnyak
2016	J	`jnl`	Efficient Rotation-Scaling-Translation Parameter Estimation Based on the Fractal Image Model. IEEE Trans. Geosci. Remote. Sens. Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2016	C	`conf`	Improved compression ratio prediction in DCT-based lossy compression of remote sensing images. IGARSS Alexander N. Zemliachenko, Sergey K. Abramov, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi
2016	—	`conf`	Lossy compression of Landsat multispectral images. MECO Ruslan A. Kozhemiakin, Sergey K. Abramov, Vladimir Badenko, Blazo Djurovic, Igor Djurovic, Benoît Vozel
2016	J	`jnl`	Multimodal Remote Sensing Image Registration With Accuracy Estimation at Local and Global Scales. IEEE Trans. Geosci. Remote. Sens. Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2016	J	`jnl`	Multimodal Remote Sensing Image Registration with Accuracy Estimation at Local and Global Scales. CoRR Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2015	C	`conf`	Compression ratio prediction in lossy compression of noisy images. IGARSS Alexander N. Zemliachenko, Sergey K. Abramov, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi
2015	J	`jnl`	Efficient Rotation-Scaling-Translation Parameters Estimation in Multimodal Settings Based on Fractal Image Model. CoRR Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2015	J	`jnl`	Image database TID2013: Peculiarities, results and perspectives. Signal Process. Image Commun. 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
2015	C	`conf`	On noise properties in hyperspectral images. IGARSS Sergey K. Abramov, Mykhail L. Uss, Victoriya V. Abramova, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi
2015	—	`conf`	Peculiarities of 3D compression of noisy multichannel images. MECO Ruslan A. Kozhemiakin, Sergey K. Abramov, Vladimir V. Lukin, Igor Djurovic, Benoît Vozel
2014	J	`jnl`	A Precise Lower Bound on Image Subpixel Registration Accuracy. IEEE Trans. Geosci. Remote. Sens. Mikhail L. Uss, Benoît Vozel, Vitaliy A. Dushepa, Vladimir A. Komjak, Kacem Chehdi
2014	—	`conf`	Image visual quality metrics verification by TID2013: Exploring of mean square error drawbacks. EUVIP Nikolay N. Ponomarenko, Vladimir V. Lukin, Oleg Ieremeiev, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian, Jaakko Astola
2013	B	`conf`	A New Color Image Database TID2013: Innovations and Results. ACIVS 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
2013	—	`conf`	Blind estimation of signal-dependent noise parameters for color image database. EUVIP Sergey K. Abramov, Victoriya Abramova, Mikhail L. Uss, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi
2013	—	`conf`	Color image database TID2013: Peculiarities and preliminary results. EUVIP 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
2013	J	`jnl`	Image informative maps for component-wise estimating parameters of signal-dependent noise. J. Electronic Imaging Mykhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2011	—	`conf`	Blind estimation of mixed noise parameters in images using robust regression curve fitting. EUSIPCO Victoria Zabrodina, Sergey K. Abramov, Vladimir V. Lukin, Jaakko Astola, Benoît Vozel, Kacem Chehdi
2011	J	`jnl`	Image Informative Maps for Estimating Noise Standard Deviation and Texture Parameters. EURASIP J. Adv. Signal Process. Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Sergey K. Abramov, Igor Baryshev, Kacem Chehdi
2011	Misc	`conf`	Image noise-informative map for noise standard deviation estimation. ICASSP Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Igor Baryshev, Kacem Chehdi
2011	J	`jnl`	Local Signal-Dependent Noise Variance Estimation From Hyperspectral Textural Images. IEEE J. Sel. Top. Signal Process. Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi
2010	C	`conf`	Improved method for blind estimation of the variance of mixed noise using weighted LMS line fitting algorithm. ISCAS Sergey K. Abramov, Victoriya Zabrodina, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi, Jaakko Astola
2008	B	`conf`	Sequential Blind PSF Estimation and Restoration of Aerial Multispectral Images. ACIVS Pejman Rahmani, Benoît Vozel, Kacem Chehdi
2007	—	`conf`	Image Restoration - A New Explicit Approach in Filtering and Restoration of Digital Images. SIGMAP Pejman Rahmani, Benoît Vozel, Kacem Chehdi
2007	—	`conf`	Joint Estimation of Multiplicative and Impulsive Noise Parameters in Remote Sensing Images with Fractal Structure. ICASSP (1) Mikhail L. Uss, Vladimir V. Lukin, Sergey K. Abramov, Benoît Vozel, Kacem Chehdi
2006	B	`conf`	Hybrid Sigma Filter for Processing Images Corrupted by Multiplicative Noise. ACIVS Nikolay N. Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko Astola, Benoît Vozel, Kacem Chehdi
2006	—	`conf`	Noise Identification and Estimation of its Statistical Parameters by Using Unsupervised Variational Classification. ICASSP (2) Benoît Vozel, Kacem Chehdi, Luc Klaine, Vladimir V. Lukin, Sergey K. Abramov
2006	—	`conf`	Processing Multichannel Radar Images by Modified Vector Sigma Fukter FIR Edge Detectuib Ebgabcement. ICASSP (2) Vladimir V. Lukin, Oleg V. Tsymbal, Benoît Vozel, Kacem Chehdi
2005	—	`conf`	An integro-differential method for adaptive filtering of additive or multiplicative noise. ICASSP (2) Luc Klaine, Benoît Vozel, Kacem Chehdi
2005	—	`conf`	Unsupervised variational classification through image multi-thresholding. EUSIPCO Luc Klaine, Benoît Vozel, Kacem Chehdi
2005	—	`conf`	Varational method using the Kuan filtering approach for the restoration of blurred images with multiplicative noise. ISSPA Luc Klaine, Benoît Vozel, Kacem Chehdi
2003	—	`conf`	Adaptive filtering of multiplicative noise by a new differential method. ISSPA (1) Luc Klaine, Benoît Vozel, Kacem Chehdi
2002	—	`conf`	Application to multispectral images of a blind identification system for blur, additive, multiplicative and impulse noises. EUSIPCO Marie-Paule Carton-Vandecandelaere, Benoît Vozel, Luc Klaine, Kacem Chehdi
2000	B	`conf`	A Blind Restoration System of Blurred and Noisy Numerical Images. ICIP Benoît Vozel, Kacem Chehdi, Marie-Paule Carton-Vandecandelaere
2000	—	`conf`	Blind identification of degradations using ascendant hierarchical classification. EUSIPCO Kacem Chehdi, Benoît Vozel, Marie-Paule Carton-Vandecandelaere, Nathalie Berric
1999	Misc	`conf`	A comparative study between parametric blur estimation methods. ICASSP Sophie Chardon, Benoît Vozel, Kacem Chehdi
1999	J	`jnl`	Parametric Blur Estimation Using the Generalized Cross-Validation Criterion and a Smoothness Constraint on the Image. Multidimens. Syst. Signal Process. Sophie Chardon, Benoît Vozel, Kacem Chehdi
1997	Misc	`conf`	Identification of the nature of noise and estimation of its statistical parameters by analysis of local histograms. ICASSP Lionel Beaurepaire, Kacem Chehdi, Benoît Vozel
1995	Misc	`conf`	Detection of human reflex response time-delay to a stretch muscular perturbation. ICASSP Philippe Poignet, Michel Guglielmi, Benoît Vozel, I. Richard