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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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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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
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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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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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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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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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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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Pre-Requisites for Smart Lossy Compression of Noisy Remote Sensing Images
M Alhihi,
,
A. N. Zemliachenko
,
S.K. Abramov
,
Benoit Vozel
,
Karen Egiazarian
et al.
Journal articles
hal-02135673v1
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On Requirements To Accuracy Of Noise Variance Estimation In Prediction Of Dct-Based Filter Efficiency
V.V. Abramova
,
S.K. Abramov
,
Oleksii S. Rubel
,
Benoit Vozel
,
Kacem Chehdi
et al.
Telecommunications and Radio Engineering , 2016
Journal articles
hal-02135797v1
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An approach to prediction and providing of compression ratio for DCT based coder applied to remote sensing images
R.A. Kozhemiakin
,
A.N. Zemliachenko
,
V.V. Lukin
,
S.K. Abramov
,
B. Vozel
et al.
Ukrainian Journal Of Remote Sensing , 2016
Journal articles
hal-02135835v1
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Prediction of compression ratio for ADCT coder
A. N. Zemliachenko
,
B. Vozel
,
V.V. Lukin
,
Alexander Zelensky
Radioelectronics and Computer Systems , 2016, 6 (33), pp.204-209
Journal articles
hal-02135764v1
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BPG-Based Lossy Compression of Three-Channel Noisy Images with Prediction of Optimal Operation Existence and Its Parameters
Bogdan Kovalenko
,
Vladimir Lukin
,
Benoit Vozel
Journal articles
hal-04087011v1
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DATA STREAM UNSUPERVISED PARTITIONING METHOD
Yuding Wang
,
Kacem Chehdi
,
Claude Cariou
,
Benoit Vozel
Conference papers
hal-04086991v1
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Discrete atomic compression of satellite images: a comprehensive efficiency research
Viktor O. Makarichev
,
Vladimir V. Lukin
,
Iryna Brysina
,
Benoit Vozel
,
Kacem Chehdi
et al.
Conference on Image and Signal Processing for Remote Sensing XXVII , Sep 2021, Madrid, Spain.
⟨10.1117/12.2599895⟩
Conference papers
hal-03629649v1
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DCT-Based Color Image Denoising: Efficiency Analysis and Prediction
Vladimir Lukin
,
Sergey Abramov
,
Ruslan Kozhemiakin
,
Alexey Rubel
,
Mikhail Uss
et al.
Book sections
hal-02476754v1
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Lossy DCT-based compression of remote sensing images with providing a desired visual quality
Sergey Krivenko
,
Sergey Abramov
,
Vladimir Lukin
,
Benoit Vozel
,
Kacem Chehdi
et al.
Image and Signal Processing for Remote Sensing XXV , Sep 2019, Strasbourg, France. pp.36,
⟨10.1117/12.2532726⟩
Conference papers
hal-02475820v1
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Estimation of Variance and Spatial Correlation Width for Fine-Scale Measurement Error in Digital Elevation Model
Mikhail Uss
,
Benoit Vozel
,
Vladimir Lukin
,
Kacem Chehdi
Journal articles
hal-02475807v1
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BPG-Based Automatic Lossy Compression of Noisy Images with the Prediction of an Optimal Operation Existence and Its Parameters
Bogdan Kovalenko
,
Vladimir Lukin
,
Sergii Kryvenko
,
Victoriya Naumenko
,
Benoit Vozel
et al.
Journal articles
hal-03771176v1
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Image Quality Prediction for DCT-based Compression
Ruslan Kozhemiakin
,
Vladimir Lukin
,
Benoit Vozel
14th International Conference on the Experience of Designing and Application of CAD Systems in Microelectronics (CADSM) , Feb 2017, Svalyava, Ukraine.
⟨10.1109/CADSM.2017.7916121⟩
Conference papers
hal-01622073v1
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Prediction of Quality in DCT-Based Lossy Compression of Noisy Remote Sensing Images
S. Abramov
,
V. Lukin
,
A. Zemliachenko
,
B. Vozel
,
K. Chehdi
et al.
2017 IEEE 37th International Conference On Electronics and Nanotechnology (elnano) , Apr 2017, Kyiv, Ukraine. pp.447-450,
⟨10.1109/ELNANO.2017.7939794⟩
Conference papers
hal-01622075v1
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LOSSY COMPRESSION OF THREE-CHANNEL REMOTE SENSING IMAGES WITH "COLOR" COMPONENT DOWNSCALING
Victor Makarichev
,
Galina Proskura
,
Oleksii Rubel
,
Vladimir V. Lukin
,
Benoit Vozel
et al.
Conference papers
hal-04087005v1
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Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network
Mykhail Uss
,
Benoit Vozel
,
Vladimir Lukin
,
Kacem Chehdi
Journal articles
hal-03597338v1
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Spatial Complexity Reduction in Remote Sensing Image Compression by Atomic Functions
Viktor O. Makarichev
,
Vladimir V. Lukin
,
Iryna Brysina
,
Benoit Vozel
Journal articles
hal-03884430v1
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IMPROVEMENT OF SPATIAL LOCALIZATION ACCURACY IN LEARNING-BASED PATCH MATCHING USING ANISOTROPIC FRACTAL BROWNIAN MOTION DATA
Mykhail. M. Uss
,
Benoit Vozel
,
Vladimir V. Lukin
,
Kacem Chehdi
Conference papers
hal-04087007v1
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