Oleksii Rubel
Oleksii Rubel
National Aerospace University "KhAI", Kharkiv, Ukraine
Подтвержден адрес электронной почты в домене khai.edu - Главная страница
An improved prediction of DCT-based image filters efficiency using regression analysis
OS Rubel, VV Lukin
National Technical University of Ukraine “Kyiv Polytechnic Institute”, 2014
Efficiency of DCT-based denoising techniques applied to texture images
A Rubel, V Lukin, O Pogrebnyak
Mexican Conference on Pattern Recognition, 261-270, 2014
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
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
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
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
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 (8), 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
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, 93990P, 2015
A neural network based predictor of filtering efficiency for image enhancement
A Rubel, A Naumenko, V Lukin
2014 IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS), 14-17, 2014
An approach to prediction of signal-dependent noise removal efficiency by DCT-based filter
VV Lukin, SK Abramov, A Rubel, SS Krivenko, A Naumenko, B Vozel, ...
Telecommunications and Radio Engineering 73 (18), 2014
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
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, 96430D, 2015
A method for predicting denoising efficiency for color images
OS Rubel, RO Kozhemiakin, SS Krivenko, VV Lukin, B Vozel, K Chehdi
2015 IEEE 35th International Conference on Electronics and Nanotechnology …, 2015
Block Matching and 3D collaborative filtering adapted to additive spatially correlated noise
A Rubel, V Lukin, K Egiazarian
Proceedings of VPQM, 6, 2015
Analysis of visual quality for denoised images
A Rubel, O Rubel, V Lukin
2017 14th International Conference The Experience of Designing and …, 2017
On prediction of DCT-based denoising efficiency under spatially correlated noise conditions
O Rubel, V Lukin, K Egiazarian
2016 13th International Conference on Modern Problems of Radio Engineering …, 2016
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, 901909, 2014
Application of filtering efficiency prediction to hyperspectral data pre-processing
VV Lukin, SS Krivenko, OS Krivenko, SK Abramov, MS Zriakhov, ML Uss, ...
Український журнал дистанційного зондування Землі, 4-11, 2015
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