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Benoît Vozel
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2020 – today
- 2024
- [j24]Sergii S. Kryvenko
, Vladimir Lukin
Lossy Compression of Single-channel Noisy Images by Modern Coders. Remote. Sens. 16(12): 2093 (2024) - 2023
- [j23]Bogdan Kovalenko
BPG-Based Lossy Compression of Three-Channel Noisy Images with Prediction of Optimal Operation Existence and Its Parameters. Remote. Sens. 15(6): 1669 (2023) - [c39]Yuding Wang, Kacem Chehdi, Claude Cariou, Benoît Vozel:
Data Stream Unsupervised Partitioning Based on Optimized Fuzzy C-Means. IGARSS 2023: 7265-7268 - 2022
- [j22]Viktor O. Makarichev, Vladimir V. Lukin
Spatial Complexity Reduction in Remote Sensing Image Compression by Atomic Functions. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j21]Viktor O. Makarichev
Discrete Atomic Transform-Based Lossy Compression of Three-Channel Remote Sensing Images with Quality Control. Remote. Sens. 14(1): 125 (2022) - [j20]Mykhail L. Uss
Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network. Sensors 22(3): 1231 (2022) - [c38]Yuding Wang, Kacem Chehdi, Claude Cariou, Benoît Vozel:
Data Stream Unsupervised Partitioning Method. IGARSS 2022: 413-416 - [c37]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: 2215-2218 - [c36]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: 3311-3314 - [c35]Oleg Ieremeiev, Vladimir V. Lukin, Krzysztof Okarma
On properties of visual quality metrics in remote sensing applications. Image Processing: Algorithms and Systems 2022: 1-6 - 2021
- [j19]Benoît Vozel
Editorial to Special Issue "Remote Sensing Data Compression". Remote. Sens. 13(18): 3727 (2021) - [j18]Mikhail L. Uss
Selection of a Similarity Measure Combination for a Wide Range of Multimodal Image Registration Cases. IEEE Trans. Geosci. Remote. Sens. 59(1): 60-75 (2021) - [c34]Mykhail M. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi:
Similarity Measure with Additional Modality Information for Multimodal Remote Sensing Images. IGARSS 2021: 3245-3248 - 2020
- [j17]Mikhail L. Uss
Efficient Discrimination and Localization of Multimodal Remote Sensing Images Using CNN-Based Prediction of Localization Uncertainty. Remote. Sens. 12(4): 703 (2020) - [j16]Vladimir V. Lukin, Irina V. Vasilyeva, Sergey S. Krivenko
Lossy Compression of Multichannel Remote Sensing Images with Quality Control. Remote. Sens. 12(22): 3840 (2020) - [j15]Mikhail L. Uss
Estimation of Variance and Spatial Correlation Width for Fine-Scale Measurement Error in Digital Elevation Model. IEEE Trans. Geosci. Remote. Sens. 58(3): 1941-1956 (2020)
2010 – 2019
- 2019
- [j14]Sergey K. Abramov
Enhancement of Component Images of Multispectral Data by Denoising with Reference. Remote. Sens. 11(6): 611 (2019) - [j13]Benoît Vozel
Editorial to Special Issue "Multispectral Image Acquisition, Processing, and Analysis". Remote. Sens. 11(19): 2310 (2019) - 2018
- [j12]Oleksii S. Rubel
Is Texture Denoising Efficiency Predictable? Int. J. Pattern Recognit. Artif. Intell. 32(1): 1860005:1-1860005:32 (2018) - [j11]Alexander N. Zemliachenko
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): 257-270 (2018) - [c33]Mikhail L. Uss
NoiseNet: Signal-Dependent Noise Variance Estimation with Convolutional Neural Network. ACIVS 2018: 414-425 - [c32]Mo Zhang, Benoît Vozel
Hyperspectral Image Restoration Based on Salient Edges. IGARSS 2018: 4027-4030 - [c31]Mikhail L. Uss
Combined Use of Multimodal Similarity Measures for Visual to Radar Image Registration. IGARSS 2018: 8881-8884 - [c30]Alexander N. Zemliachenko
On potential to improve DCT-based denoising with local threshold. MECO 2018: 1-4 - [i3]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 abs/1801.07740 (2018) - 2017
- [c29]Victoriya Abramova
Blind evaluation of noise characteristics in multi-channel images exploiting inter-channel correlation. MECO 2017: 1-5 - 2016
- [j10]Aleksey Rubel
Efficiency of texture image enhancement by DCT-based filtering. Neurocomputing 175: 948-965 (2016) - [j9]Oleksii S. Rubel
Efficiency of texture image filtering and its prediction. Signal Image Video Process. 10(8): 1543-1550 (2016) - [j8]Mikhail L. Uss
Efficient Rotation-Scaling-Translation Parameter Estimation Based on the Fractal Image Model. IEEE Trans. Geosci. Remote. Sens. 54(1): 197-212 (2016) - [j7]Mikhail L. Uss
Multimodal Remote Sensing Image Registration With Accuracy Estimation at Local and Global Scales. IEEE Trans. Geosci. Remote. Sens. 54(11): 6587-6605 (2016) - [c28]Vladimir V. Lukin
Automatic lossy compression of noisy images by spiht or jpeg2000 in optimal operation point neighborhood. EUVIP 2016: 1-6 - [c27]Alexander N. Zemliachenko
Improved compression ratio prediction in DCT-based lossy compression of remote sensing images. IGARSS 2016: 6966-6969 - [c26]Ruslan A. Kozhemiakin, Sergey K. Abramov
Lossy compression of Landsat multispectral images. MECO 2016: 104-107 - [i2]Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi:
Multimodal Remote Sensing Image Registration with Accuracy Estimation at Local and Global Scales. CoRR abs/1602.02720 (2016) - 2015
- [j6]Nikolay N. Ponomarenko
Image database TID2013: Peculiarities, results and perspectives. Signal Process. Image Commun. 30: 57-77 (2015) - [c25]Alexander N. Zemliachenko
Compression ratio prediction in lossy compression of noisy images. IGARSS 2015: 3497-3500 - [c24]Sergey K. Abramov
On noise properties in hyperspectral images. IGARSS 2015: 3501-3504 - [c23]Ruslan A. Kozhemiakin, Sergey K. Abramov
Peculiarities of 3D compression of noisy multichannel images. MECO 2015: 331-334 - [i1]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 abs/1501.02372 (2015) - 2014
- [j5]Mikhail L. Uss
A Precise Lower Bound on Image Subpixel Registration Accuracy. IEEE Trans. Geosci. Remote. Sens. 52(6): 3333-3345 (2014) - [c22]Nikolay N. Ponomarenko
Image visual quality metrics verification by TID2013: Exploring of mean square error drawbacks. EUVIP 2014: 1-6 - 2013
- [j4]Mykhail L. Uss
Image informative maps for component-wise estimating parameters of signal-dependent noise. J. Electronic Imaging 22(1): 013019 (2013) - [c21]Nikolay N. Ponomarenko
A New Color Image Database TID2013: Innovations and Results. ACIVS 2013: 402-413 - [c20]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: 82-87 - [c19]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: 106-111 - 2011
- [j3]Mikhail L. Uss
Image Informative Maps for Estimating Noise Standard Deviation and Texture Parameters. EURASIP J. Adv. Signal Process. 2011 (2011) - [j2]Mikhail L. Uss
Local Signal-Dependent Noise Variance Estimation From Hyperspectral Textural Images. IEEE J. Sel. Top. Signal Process. 5(3): 469-486 (2011) - [c18]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: 1135-1139 - [c17]Mikhail L. Uss
Image noise-informative map for noise standard deviation estimation. ICASSP 2011: 961-964 - 2010
- [c16]Sergey K. Abramov
Improved method for blind estimation of the variance of mixed noise using weighted LMS line fitting algorithm. ISCAS 2010: 2642-2645
2000 – 2009
- 2008
- [c15]Pejman Rahmani, Benoît Vozel
Sequential Blind PSF Estimation and Restoration of Aerial Multispectral Images. ACIVS 2008: 410-421 - 2007
- [c14]Mikhail L. Uss
Joint Estimation of Multiplicative and Impulsive Noise Parameters in Remote Sensing Images with Fractal Structure. ICASSP (1) 2007: 581-584 - [c13]Pejman Rahmani, Benoît Vozel, Kacem Chehdi:
Image Restoration - A New Explicit Approach in Filtering and Restoration of Digital Images. SIGMAP 2007: 200-203 - 2006
- [c12]Nikolay N. Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian
Hybrid Sigma Filter for Processing Images Corrupted by Multiplicative Noise. ACIVS 2006: 46-54 - [c11]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: 833-836 - [c10]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: 841-844 - 2005
- [c9]Luc Klaine, Benoît Vozel, Kacem Chehdi:
Unsupervised variational classification through image multi-thresholding. EUSIPCO 2005: 1-4 - [c8]Luc Klaine, Benoît Vozel
An integro-differential method for adaptive filtering of additive or multiplicative noise. ICASSP (2) 2005: 1001-1004 - [c7]Luc Klaine, Benoît Vozel
Varational method using the Kuan filtering approach for the restoration of blurred images with multiplicative noise. ISSPA 2005: 343-346 - 2003
- [c6]Luc Klaine, Benoît Vozel
Adaptive filtering of multiplicative noise by a new differential method. ISSPA (1) 2003: 437-440 - 2002
- [c5]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: 1-4 - 2000
- [c4]Kacem Chehdi, Benoît Vozel, Marie-Paule Carton-Vandecandelaere, Nathalie Berric:
Blind identification of degradations using ascendant hierarchical classification. EUSIPCO 2000: 1-4 - [c3]Benoît Vozel, Kacem Chehdi, Marie-Paule Carton-Vandecandelaere:
A Blind Restoration System of Blurred and Noisy Numerical Images. ICIP 2000: 105-108
1990 – 1999
- 1999
- [j1]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): 395-414 (1999) - [c2]Sophie Chardon, Benoît Vozel, Kacem Chehdi:
A comparative study between parametric blur estimation methods. ICASSP 1999: 3233-3236 - 1997
- [c1]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: 2805-2808
Coauthor Index
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