Search - Université de Rennes Access content directly

Filter your results

28 Results
Author: personID (integer) : 963377

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
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

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
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

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

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

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

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

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.
Telecommunications and Radio Engineering, 2018, 77 (3), pp.225-241. ⟨10.1615/telecomradeng.v77.i3.40⟩
Journal articles hal-02135673v1

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

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

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
Image document

BPG-Based Lossy Compression of Three-Channel Noisy Images with Prediction of Optimal Operation Existence and Its Parameters

Bogdan Kovalenko , Vladimir Lukin , Benoit Vozel
Remote Sensing, 2023, 15 (6), pp.1669. ⟨10.3390/rs15061669⟩
Journal articles hal-04087011v1

DATA STREAM UNSUPERVISED PARTITIONING METHOD

Yuding Wang , Kacem Chehdi , Claude Cariou , Benoit Vozel
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2022, Kuala Lumpur, Malaysia. ⟨10.1109/IGARSS46834.2022.9884448⟩
Conference papers hal-04086991v1

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

DCT-Based Color Image Denoising: Efficiency Analysis and Prediction

Vladimir Lukin , Sergey Abramov , Ruslan Kozhemiakin , Alexey Rubel , Mikhail Uss et al.
Color Image and Video Enhancement, Springer International Publishing, pp.55-80, 2015, ⟨10.1007/978-3-319-09363-5_3⟩
Book sections hal-02476754v1

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
Image document

Estimation of Variance and Spatial Correlation Width for Fine-Scale Measurement Error in Digital Elevation Model

Mikhail Uss , Benoit Vozel , Vladimir Lukin , Kacem Chehdi
IEEE Transactions on Geoscience and Remote Sensing, 2020, 58 (3), pp.1941-1956. ⟨10.1109/TGRS.2019.2951178⟩
Journal articles hal-02475807v1
Image document

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.
Applied Sciences, 2022, 12 (15), pp.7555. ⟨10.3390/app12157555⟩
Journal articles hal-03771176v1

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

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

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.
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2022, Kuala Lumpur, Malaysia. ⟨10.1109/IGARSS46834.2022.9884580⟩
Conference papers hal-04087005v1
Image document

Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network

Mykhail Uss , Benoit Vozel , Vladimir Lukin , Kacem Chehdi
Sensors, 2022, 22 (3), pp.1231. ⟨10.3390/s22031231⟩
Journal articles hal-03597338v1
Image document

Spatial Complexity Reduction in Remote Sensing Image Compression by Atomic Functions

Viktor O. Makarichev , Vladimir V. Lukin , Iryna Brysina , Benoit Vozel
IEEE Geoscience and Remote Sensing Letters, 2022, 19, pp.6517305. ⟨10.1109/LGRS.2022.3213406⟩
Journal articles hal-03884430v1

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
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2022, Kuala Lumpur, Malaysia. ⟨10.1109/IGARSS46834.2022.9883816⟩
Conference papers hal-04087007v1