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
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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.
Conference papers
hal-02476747v1
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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
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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
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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
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hal-02135700v1
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Multimodal Remote Sensing Image Registration With Accuracy Estimation at Local and Global Scales
Mikhail L. Uss
,
Benoit Vozel
,
Vladimir V. Lukin
,
Kacem Chehdi
Journal articles
hal-01395431v1
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Efficiency of texture image enhancement by DCT-based filtering
Aleksey Rubel
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Vladimir Lukin
,
Mikhail Uss
,
Benoit Vozel
,
Oleksiy Pogrebnyak
et al.
Journal articles
hal-01240773v1
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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.
Book sections
hal-02135685v1
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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⟩
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hal-02018908v1
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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
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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.
Journal articles
hal-02135679v1
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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
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hal-02135855v1
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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
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Efficient Discrimination and Localization of Multimodal Remote Sensing Images Using CNN-Based Prediction of Localization Uncertainty
Mykhail Uss
,
Benoit Vozel
,
Vladimir Lukin
,
Kacem Chehdi
Journal articles
hal-02488912v1
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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 articles
hal-02476752v1
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Image database TID2013: Peculiarities, results and perspectives
Nikolay Ponomarenko
,
Lina Jin
,
Oleg Ieremeiev
,
Vladimir Lukin
,
Karen Egiazarian
et al.
Journal articles
hal-01109219v1
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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
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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
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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
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Image informative maps for component-wise estimating parameters of signal-dependent noise
M.L Uss
,
Benoit Vozel
,
V. V. Lukin
,
Kacem Chehdi
Journal articles
hal-00905998v1
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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.
Journal articles
hal-03629663v1
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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.
Conference papers
hal-02475965v1
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Lossy Compression of Remote Sensing Images with Controllable Distortions
Vladimir Lukin
,
Alexander Zemliachenko
,
Sergey Krivenko
,
Benoit Vozel
,
Kacem Chehdi
et al.
Book sections
hal-02135638v1
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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
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Prediction of Visual Quality Metrics in Lossy Image Compression
S. S. Krivenko
,
F Li
,
V. V. Lukin
,
Benoit Vozel
,
O. Krylova
et al.
Conference papers
hal-02892268v1
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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
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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
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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
Journal articles
hal-02948495v1
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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
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Enhancement of Component Images of Multispectral Data by Denoising with Reference
Sergey Abramov
,
Mikhail Uss
,
Vladimir Lukin
,
Benoit Vozel
,
Kacem Chehdi
et al.
Journal articles
hal-02135627v1
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