Oleksii S. Rubel

According to our database, Oleksii S. Rubel authored at least 19 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Optimal parameters selection of the Frost filter based on despeckling efficiency prediction for Sentinel SAR images.

Oleksii S. Rubel, Andrii S. Rubel, Vladimir V. Lukin, Karen O. Egiazarian

Proceedings of the Image Processing: Algorithms and Systems XX, 2022

Lossy Compression of Three-Channel Remote Sensing Images with "Color" Component Downscaling.

Viktor O. Makarichev, Galina Proskura, Oleksii S. Rubel, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Selection of Lee Filter Window Size Based on Despeckling Efficiency Prediction for Sentinel SAR Images.

Oleksii S. Rubel, Vladimir V. Lukin, Andrii S. Rubel, Karen O. Egiazarian

Remote. Sens., 2021

Benchmark of Similar Blocks Search under Noisy Conditions.

Oleksii S. Rubel, Rostyslav Tsekhmystro, Vladimir V. Lukin, Karen O. Egiazarian

Proceedings of the Image Processing: Algorithms and Systems XIX, 2021

Decision-making on image denoising expedience.

Andrii S. Rubel, Oleksii S. Rubel, Vladimir V. Lukin, Karen O. Egiazarian

Proceedings of the Image Processing: Algorithms and Systems XIX, 2021

2020

Lossy Compression of Multichannel Remote Sensing Images with Quality Control.

Vladimir V. Lukin, Irina V. Vasilyeva, Sergey S. Krivenko, Fangfang Li, Sergey K. Abramov, Oleksii S. Rubel, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian

Remote. Sens., 2020

Prediction of Lee filter performance for Sentinel-1 SAR images.

Oleksii S. Rubel, Vladimir V. Lukin, Andrii S. Rubel, Karen O. Egiazarian

Proceedings of the Image Quality and System Performance XVII, Electronic Imaging 2020, 2020

Prediction of performance of 2D DCT-based filter and adaptive selection of its parameters.

Sergey Abramov, Vladimir V. Lukin, Oleksii S. Rubel, Karen O. Egiazarian

Proceedings of the Image Quality and System Performance XVII, Electronic Imaging 2020, 2020

2019

Additive spatially correlated noise suppression by robust block matching and adaptive 3D filtering (JIST-first).

Oleksii S. Rubel, Vladimir V. Lukin, Karen O. Egiazarian

Proceedings of the Image Processing: Algorithms and Systems XVII, 2019

Blind Prediction of Original Image Quality for Sentinel Sar Data.

Oleksii S. Rubel, Andrii S. Rubel, Vladimir V. Lukin, Marco Carli, Karen O. Egiazarian

Proceedings of the 8th European Workshop on Visual Information Processing, 2019

2018

Is Texture Denoising Efficiency Predictable?

Oleksii S. Rubel, Vladimir V. Lukin, Sergey K. Abramov, Benoît Vozel, Oleksiy B. Pogrebnyak, Karen O. Egiazarian

Int. J. Pattern Recognit. Artif. Intell., 2018

Blind DCT-based prediction of image denoising efficiency using neural networks.

Oleksii S. Rubel, Andrii S. Rubel, Vladimir V. Lukin, Karen O. Egiazarian

Proceedings of the 7th European Workshop on Visual Information Processing, 2018

2017

Speckle reducing for Sentinel-1 SAR data.

Sergey K. Abramov, Oleksii S. Rubel, Vladimir V. Lukin, Ruslan A. Kozhemiakin, Nataliia Kussul, Andrii Shelestov, Mykola Lavreniuk

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

Efficiency of texture image filtering and its prediction.

Oleksii S. Rubel, Vladimir V. Lukin, Sergey K. Abramov, Benoît Vozel, Karen O. Egiazarian, Oleksiy B. Pogrebnyak

Signal Image Video Process., 2016

Efficiency of texture image enhancement by DCT-based filtering.

Aleksey Rubel, Vladimir V. Lukin, Mikhail L. Uss, Benoît Vozel, Oleksiy B. Pogrebnyak, Karen O. Egiazarian

Neurocomputing, 2016

2015

A method for predicting DCT-based denoising efficiency for grayscale images corrupted by AWGN and additive spatially correlated noise.

Aleksey Rubel, Vladimir V. Lukin, Karen O. Egiazarian

Proceedings of the Image Processing: Algorithms and Systems XIII, 2015

Prediction of Despeckling Efficiency of DCT-Based Filters Applied to SAR Images.

Oleksii S. Rubel, Vladimir V. Lukin, Fátima N. S. de Medeiros

Proceedings of the 2015 International Conference on Distributed Computing in Sensor Systems, 2015

2014

Efficiency of DCT-Based Denoising Techniques Applied to Texture Images.

Aleksey Rubel, Vladimir V. Lukin, Oleksiy B. Pogrebnyak

Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014

Metric performance in similar blocks search and their use in collaborative 3D filtering of grayscale images.

Aleksey Rubel, Vladimir V. Lukin, Karen O. Egiazarian

Proceedings of the Image Processing: Algorithms and Systems XII, 2014