Oleksii Rubel
Oleksii Rubel
National Aerospace University "KhAI", Kharkiv, Ukraine
Підтверджена електронна адреса в khai.edu - Домашня сторінка
НазваПосиланняРік
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
272014
Efficiency of DCT-based denoising techniques applied to texture images
A Rubel, V Lukin, O Pogrebnyak
Mexican Conference on Pattern Recognition, 261-270, 2014
262014
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
142016
Impact of SAR data filtering on crop classification accuracy
M Lavreniuk, N Kussul, M Meretsky, V Lukin, S Abramov, O Rubel
Electrical and Computer Engineering (UKRCON), 2017 IEEE First Ukraine …, 2017
112017
Prediction of despeckling efficiency of DCT-based filters applied to SAR images
OS Rubel, VV Lukin, FS de Medeiros
Distributed Computing in Sensor Systems (DCOSS), 2015 International …, 2015
102015
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
102015
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
92018
A neural network based predictor of filtering efficiency for image enhancement
A Rubel, A Naumenko, V Lukin
Microwaves, Radar and Remote Sensing Symposium (MRRS), 2014 IEEE, 14-17, 2014
92014
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
72016
HVS-based local analysis of denoising efficiency for DCT-based filters
O Rubel, N Ponomarenko, V Lukin, J Astola, K Egiazarian
Problems of Infocommunications Science and Technology (PIC S&T), 2015 Second …, 2015
62015
A method for predicting denoising efficiency for color images
OS Rubel, RO Kozhemiakin, SS Krivenko, VV Lukin, B Vozel, K Chehdi
Electronics and Nanotechnology (ELNANO), 2015 IEEE 35th International …, 2015
62015
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
62015
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
62014
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
52015
Speckle reducing for Sentinel-1 SAR data
S Abramov, O Rubel, V Lukin, R Kozhemiakin, N Kussul, A Shelestov, ...
Geoscience and Remote Sensing Symposium (IGARSS), 2017 IEEE International …, 2017
42017
On prediction of DCT-based denoising efficiency under spatially correlated noise conditions
O Rubel, V Lukin, K Egiazarian
Modern Problems of Radio Engineering. Telecommunications and Computer …, 2016
42016
Block Matching and 3D collaborative filtering adapted to additive spatially correlated noise
A Rubel, V Lukin, K Egiazarian
Proceedings of VPQM, Scottsdale, USA, 2015
42015
Application of filtering efficiency prediction to hyperspectral data pre-processing
VV Lukin, SS Krivenko, OS Rubel, SK Abramov, MS Zriakhov, ML Uss, ...
Український журнал дистанційного зондування Землі, 4-11, 2015
42015
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
42014
Analysis of visual quality for denoised images
A Rubel, O Rubel, V Lukin
Experience of Designing and Application of CAD Systems in Microelectronics …, 2017
32017
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