Oleksii Rubel
Oleksii Rubel
Associate Professor, National Aerospace University "KhAI", Kharkiv, Ukraine
Verified email at - Homepage
Cited by
Cited by
An improved prediction of DCT-based image filters efficiency using regression analysis
OS Rubel, VV Lukin
Information and Telecommunication Sciences, 30-41, 2014
Efficiency of DCT-based denoising techniques applied to texture images
A Rubel, V Lukin, O Pogrebnyak
Pattern Recognition: 6th Mexican Conference, MCPR 2014, Cancun, Mexico, June …, 2014
Impact of SAR data filtering on crop classification accuracy
M Lavreniuk, N Kussul, M Meretsky, V Lukin, S Abramov, O Rubel
2017 IEEE First Ukraine Conference on Electrical and Computer Engineering …, 2017
Efficiency of texture image enhancement by DCT-based filtering
A Rubel, V Lukin, M Uss, B Vozel, O Pogrebnyak, K Egiazarian
Neurocomputing 175, 948-965, 2016
Is Texture Denoising Efficiency Predictable?
O Rubel, V Lukin, S Abramov, B Vozel, O Pogrebnyak, K Egiazarian
International Journal of Pattern Recognition and Artificial Intelligence 32 …, 2018
Selection of lee filter window size based on despeckling efficiency prediction for sentinel sar images
O Rubel, V Lukin, A Rubel, K Egiazarian
Remote Sensing 13 (10), 1887, 2021
Lossy compression of multichannel remote sensing images with quality control
V Lukin, I Vasilyeva, S Krivenko, F Li, S Abramov, O Rubel, B Vozel, ...
Remote Sensing 12 (22), 3840, 2020
Prediction of Despeckling Efficiency of DCT-based filters Applied to SAR Images
OS Rubel, VV Lukin, FS De Medeiros
2015 International Conference on Distributed Computing in Sensor Systems …, 2015
Speckle reducing for Sentinel-1 SAR data
S Abramov, O Rubel, V Lukin, R Kozhemiakin, N Kussul, A Shelestov, ...
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
Despeckling of multitemporal sentinel SAR images and its impact on agricultural area classification
V Lukin, O Rubel, R Kozhemiakin, S Abramov, A Shelestov, M Lavreniuk, ...
Recent Advances and Applications in Remote Sensing, 21-40, 2018
NN-based prediction of sentinel-1 SAR image filtering efficiency
O Rubel, V Lukin, A Rubel, K Egiazarian
Geosciences 9 (7), 290, 2019
Additive spatially correlated noise suppression by robust block matching and adaptive 3D filtering (JIST-first)
O Rubel, V Lukin, K Egiazarian
Electronic Imaging 31, 1-11, 2018
Blind DCT-based prediction of image denoising efficiency using neural networks
O Rubel, A Rubel, V Lukin, K Egiazarian
2018 7th European Workshop on Visual Information Processing (EUVIP), 1-6, 2018
Efficiency of texture image filtering and its prediction
O Rubel, V Lukin, S Abramov, B Vozel, K Egiazarian, O Pogrebnyak
Signal, Image and Video Processing 10, 1543-1550, 2016
HVS-based local analysis of denoising efficiency for DCT-based filters
O Rubel, N Ponomarenko, V Lukin, J Astola, K Egiazarian
2015 Second International Scientific-Practical Conference Problems of …, 2015
Analysis of visual quality for denoised images
A Rubel, O Rubel, V Lukin
2017 14th International Conference The Experience of Designing and …, 2017
A method for predicting DCT-based denoising efficiency for grayscale images corrupted by AWGN and additive spatially correlated noise
AS Rubel, VV Lukin, KO Egiazarian
Image Processing: Algorithms and Systems XIII 9399, 184-195, 2015
DCT-Based Color Image Denoising: Efficiency Analysis and Prediction
V Lukin, S Abramov, R Kozhemiakin, A Rubel, M Uss, N Ponomarenko, ...
Color Image and Video Enhancement, 55-80, 2015
Metric performance in similar blocks search and their use in collaborative 3D filtering of grayscale images
AS Rubel, VV Lukin, KO Egiazarian
Image Processing: Algorithms and Systems XII 9019, 65-76, 2014
Performance prediction for 3D filtering of multichannel images
O Rubel, RA Kozhemiakin, SK Abramov, VV Lukin, B Vozel, K Chehdi
Image and Signal Processing for Remote Sensing XXI 9643, 124-134, 2015
The system can't perform the operation now. Try again later.
Articles 1–20