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authFullName_s : Benoit Vozel

Blind noise parameters estimation for multichannel images using deep convolutional neural networks

Mykhail Uss , Benoit Vozel , Vladimir Lukin , Kacem Chehdi
Image and Signal Processing for Remote Sensing XXV, Sep 2019, Strasbourg, France. pp.38, ⟨10.1117/12.2533300⟩
Conference papers hal-02475823v1

Automatic lossy compression of noisy images by spiht or jpeg2000 in optimal operation point neighborhood

Vladimir Lukin , Alaxender Zemliachenko , Sergey Abramov , Benoit Vozel , Kacem Chehdi et al.
2016 6th European Workshop on Visual Information Processing (EUVIP), Oct 2016, Marseille, France. pp.1-6, ⟨10.1109/EUVIP.2016.7764581⟩
Conference papers hal-02476747v1

Lossy compression of three-channel remote sensing images with controllable quality

Irina Vasilyeva , Fangfang Li , Sergey Abramov , Vladimir V. Lukin , Benoit Vozel et al.
Conference on Image and Signal Processing for Remote Sensing XXVII, Sep 2021, Madrid, Spain. ⟨10.1117/12.2599902⟩
Conference papers hal-03629655v1

A Method for Predicting Denoising Efficiency for Color Images

Oleksii S. Rubel , Ruslan O. Kozhemiakin , Sergey S. Krivenko , Vladimir V. Lukin , Benoit Vozel et al.
2015 Ieee 35th International Conference On Electronics and Nanotechnology (elnano), 2015, pp.304--309
Journal articles hal-01380049v1

Automatic Adaptive Lossy Compression of Multichannel Remote Sensing Images

Vladimir Lukin , Alexander Zemliachenko , Ruslan Kozhemiakin , Sergey Abramov , Mikhail Uss et al.
Recent Advances in Image and Video Coding, InTech, 2016
Book sections hal-02135700v1

Multimodal Remote Sensing Image Registration With Accuracy Estimation at Local and Global Scales

Mikhail L. Uss , Benoit Vozel , Vladimir V. Lukin , Kacem Chehdi
IEEE Transactions on Geoscience and Remote Sensing, 2016, 54 (11), pp.6587--6605. ⟨10.1109/TGRS.2016.2587321⟩
Journal articles hal-01395431v1
Image document

Efficiency of texture image enhancement by DCT-based filtering

Aleksey Rubel , Vladimir Lukin , Mikhail Uss , Benoit Vozel , Oleksiy Pogrebnyak et al.
Neurocomputing, 2016, 175 Part B, pp.948-965. ⟨10.1016/j.neucom.2015.04.119⟩
Journal articles hal-01240773v1
Image document

Despeckling of Multitemporal Sentinel SAR Images and Its Impact on Agricultural Area Classification

Vladimir Lukin , Oleksii Rubel , Ruslan Kozhemiakin , Sergey Abramov , Andrii Shelestov et al.
Recent Advances and Applications in Remote Sensing, InTech, 2018, ⟨10.5772/intechopen.72577⟩
Book sections hal-02135685v1

Preliminary filtering and lossy compression of noisy remote sensing images

Alexander N. Zemliachenko , Sergey K. Abramov , Vladimir V. Lukin , Benoit Vozel , Kacem Chehdi et al.
Conference on Image and Signal Processing for Remote Sensing XXIV, Sep 2018, Berlin, Germany. ⟨10.1117/12.2325102⟩
Conference papers hal-02018908v1

Using inter-channel correlation in blind evaluation of noise characteristics in multichannel remote sensing images

Victoriya V. Abramova , Sergey K. Abramov , Vladimir V. Lukin , Benoit Vozel , Kacem Chehdi et al.
Conference on Image and Signal Processing for Remote Sensing XXIV, Sep 2018, Berlin, Germany. ⟨10.1117/12.2325100⟩
Conference papers hal-02018920v1

Prediction of Compression Ratio for DCT-Based Coders With Application to Remote Sensing Images

Alexander Zemliachenko , Ruslan Kozhemiakin , Sergey Abramov , Vladimir Lukin , Benoit Vozel et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11 (1), pp.257-270. ⟨10.1109/JSTARS.2017.2781906⟩
Journal articles hal-02135679v1

Application of filtering efficiency prediction to hyperspectral data pre-processing

V.V. Lukin , S. S. Krivenko , S.K. Abramov , M. Zriakhov , M.L Uss et al.
Ukrainian Journal Of Remote Sensing, 2015
Journal articles hal-02135855v1

Optimal operation point in 3D DCT-based lossy compression of color and multichannel remote sensing images

Vv Lukin , Sk Abramov , Ra Kozhemiakin , Benoit Vozel , B Djurovic et al.
Telecommunications and Radio Engineering, 2015
Journal articles hal-02135867v1
Image document

Efficient Discrimination and Localization of Multimodal Remote Sensing Images Using CNN-Based Prediction of Localization Uncertainty

Mykhail Uss , Benoit Vozel , Vladimir Lukin , Kacem Chehdi
Remote Sensing, 2020, 12 (4), pp.703. ⟨10.3390/rs12040703⟩
Journal articles hal-02488912v1

Lossy compression of noisy remote sensing images with prediction of optimal operation point existence and parameters

Alexander Zemliachenko , Sergey Abramov , Vladimir Lukin , Benoit Vozel , Kacem Chehdi et al.
Journal of applied remote sensing, 2015, 9 (1), pp.095066. ⟨10.1117/1.JRS.9.095066⟩
Journal articles hal-02476752v1
Image document

Image database TID2013: Peculiarities, results and perspectives

Nikolay Ponomarenko , Lina Jin , Oleg Ieremeiev , Vladimir Lukin , Karen Egiazarian et al.
Signal Processing: Image Communication, 2015, 30, pp.57-77. ⟨10.1016/j.image.2014.10.009⟩
Journal articles hal-01109219v1

Approaches To Automatic Data Processing In Hyperspectral Remote Sensing

V. V. Lukin , S. K. Abramov , N. N. Ponomarenko , S. S. Krivenko , M. L. Uss et al.
Telecommunications and Radio Engineering, 2014, 13, http://dl.begellhouse.com/journals/0632a9d54950b268,6b541fef7dc47de0,59013a284700b5c4.html. ⟨10.1615/TelecomRadEng.v73.i13.10⟩
Journal articles hal-01109209v1

Automatic Estimation Of Spatially Correlated Noise Variance In Spectral Domain For Images

V.V. Abramova , S. K. Abramov , V. V. Lukin , A. A. Roenko , Benoit Vozel et al.
Telecommunications and Radio Engineering, 2014, 6, http://dl.begellhouse.com/journals/0632a9d54950b268,42c8914804282389,1b7a4d90381fd29c.html. ⟨10.1615/TelecomRadEng.v73.i6.40⟩
Journal articles hal-01109214v1

Performance evaluation for blind methods of noise characteristic estimation for TerraSAR-X images

Vladimir V. Lukin , Sergey K. Abramov , Dmitriy V. Fevralev , Nikolay N. Ponomarenko , Karen Egiazarian et al.
Conference on Image and Signal Processing for Remote Sensing XVII, Sep 2011, Prague, Czech Republic. pp.81800X, ⟨10.1117/12.897730⟩
Conference papers hal-00947026v1

Image informative maps for component-wise estimating parameters of signal-dependent noise

M.L Uss , Benoit Vozel , V. V. Lukin , Kacem Chehdi
Journal of Electronic Imaging, 2013, 22 (1), pp.Id. 013019. ⟨10.1117/JEI.22.1.013019⟩
Journal articles hal-00905998v1
Image document

Discrete Atomic Transform-Based Lossy Compression of Three-Channel Remote Sensing Images with Quality Control

Victor Makarichev , Irina Vasilyeva , Vladimir Lukin , Benoit Vozel , Andrii Shelestov et al.
Remote Sensing, 2022, 14 (1), pp.125. ⟨10.3390/rs14010125⟩
Journal articles hal-03629663v1

Blind evaluation of noise characteristics in multi-channel images exploiting inter-channel correlation

Victoriya Abramova , Sergey Abramov , Vladimir Lukin , Igor Djurovic , Marko Simeunovic et al.
2017 6th Mediterranean Conference on Embedded Computing (MECO), Jun 2017, Bar, France. pp.1-5, ⟨10.1109/MECO.2017.7977182⟩
Conference papers hal-02475965v1

Lossy Compression of Remote Sensing Images with Controllable Distortions

Vladimir Lukin , Alexander Zemliachenko , Sergey Krivenko , Benoit Vozel , Kacem Chehdi et al.
Satellite Information Classification and Interpretation, IntechOpen, 2018, ⟨10.5772/intechopen.82361⟩
Book sections hal-02135638v1

Lossy Compression of Hyperspectral Images Based on JPEG2000

Alexander Zemliachenko , Vladimir Lukin , Benoit Vozel
4th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC SandT), Oct 2017, Kharkiv, Ukraine. ⟨10.1109/INFOCOMMST.2017.8246472⟩
Conference papers hal-01770202v1

Prediction of Visual Quality Metrics in Lossy Image Compression

S. S. Krivenko , F Li , V. V. Lukin , Benoit Vozel , O. Krylova et al.
40th IEEE International Conference on Electronics and Nanotechnology, ELNANO 2020, Apr 2020, Kyiv, Ukraine. pp.478-483, ⟨10.1109/ELNANO50318.2020.9088819⟩
Conference papers hal-02892268v1

A New Color Image Database TID2013: Innovations and Results

Nikolay Ponomarenko , Oleg Ieremeiev , Vladimir Lukin , Lina Jin , Karen Egiazarian et al.
15th International Conference Advanced Concepts for Intelligent Vision Systems, Oct 2013, Poznań, Poland. http://link.springer.com/chapter/10.1007%2F978-3-319-02895-8_36, ⟨10.1007/978-3-319-02895-8_36⟩
Conference papers istex hal-01126966v1

A Precise Lower Bound on Image Subpixel Registration Accuracy

Mikhail L. Uss , Benoit Vozel , Vitaliy A. Dushepa , Vladimir A. Komjak , Kacem Chehdi et al.
IEEE Transactions on Geoscience and Remote Sensing, 2014, http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6570757&isnumber=6750066. ⟨10.1109/TGRS.2013.2272559⟩
Journal articles hal-01109199v1
Image document

Selection of a Similarity Measure Combination for a Wide Range of Multimodal Image Registration Cases

Mikhail L. Uss , Benoit Vozel , Sergey K. Abramov , Kacem Chehdi
IEEE Transactions on Geoscience and Remote Sensing, 2021, 59 (1), pp.60-75. ⟨10.1109/TGRS.2020.2992597⟩
Journal articles hal-02948495v1

Towards a Blind Restoration Method of Hyperspectral Images

Mo Zhang , Benoit Vozel , Kacem Chehdi , Mykhail Uss , Sergey Abramov et al.
Conference on Image and Signal Processing for Remote Sensing XXIV, Sep 2018, Berlin, Germany. ⟨10.1117/12.2325456⟩
Conference papers hal-02018910v1
Image document

Enhancement of Component Images of Multispectral Data by Denoising with Reference

Sergey Abramov , Mikhail Uss , Vladimir Lukin , Benoit Vozel , Kacem Chehdi et al.
Remote Sensing, 2019, 11 (6), pp.611. ⟨10.3390/rs11060611⟩
Journal articles hal-02135627v1