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Ruslan Kozhemiakin
Ruslan Kozhemiakin
National Aerospace University, Kharkov, Ukraine
Verified email at rtsla.khai.edu
Title
Cited by
Cited by
Year
Lossy compression of hyperspectral images based on noise parameters estimation and variance stabilizing transform
AN Zemliachenko, RA Kozhemiakin, ML Uss, SK Abramov, ...
Journal of applied remote sensing 8 (1), 083571-083571, 2014
602014
Image quality prediction for DCT-based compression
R Kozhemiakin, V Lukin, B Vozel
2017 14th International Conference The Experience of Designing and, 2017
322017
Prediction of Compression Ratio in Lossy Compression of Noisy Images
A Zemliachenko, R Kozhemiakin, B Vozel, V Lukin
13th International Conference on Modern Problems of Radio Engineering, 2016
212016
Prediction of compression ratio for DCT-based coders with application to remote sensing images
AN Zemliachenko, RA Kozhemiakin, SK Abramov, VV Lukin, B Vozel, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote, 2017
182017
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
162017
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
142018
Lossy compression of Landsat multispectral images
R Kozhemiakin, S Abramov, V Lukin, B Djurović, I Djurović, B Vozel
2016 5th Mediterranean Conference on Embedded Computing (MECO), 104-107, 2016
142016
Optimal operation point in 3d DCT-based lossy compression of color and multichannel remote sensing images
VV Lukin, SK Abramov, RA Kozhemiakin, B Vozel, B Djurovic, I Djurovi
Telecommunications and Radio Engineering 74 (20), 1803-1821, 2015
132015
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
132015
Strategies of SAR image lossy compression by JPEG2000 and SPIHT
R Kozhemiakin, S Abramov, V Lukin, B Djurović, I Djurović, M Simeunović
2017 6th Mediterranean Conference on Embedded Computing (MECO), 1-6, 2017
112017
Peculiarities of 3D Compression of Noisy Multichannel Images
R Kozhemiakin, S Abramov, V Lukin, I Djurović, B Vozel
4th Mediterranean Conference on Embedded Computing (MECO 2015), 331-334, 2015
102015
An approach to prediction and providing of compression ratio for DCT-based coder applied to multichannel remote sensing data
RA Kozhemiakin, VV Lukin, SK Abramov, M Simeunovic, B Djurovic, ...
Telecommunications and Radio Engineering 75 (14), 2016
82016
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
82015
Output MSE and PSNR prediction in DCT-based lossy compression of remote sensing images
RA Kozhemiakin, SK Abramov, VV Lukin, B Vozel, K Chehdi
Image and Signal Processing for Remote Sensing XXIII 10427, 535-546, 2017
72017
Output MSE and PSNR prediction in DCT-based lossy compression of remote sensing images
B Vozel, R Kozhemiakin, S Abramov, V Lukin, K Chehdi
Proceedings of the SPIE 10427, 11, 2017
72017
An approach to prediction and providing of compression ratio for DCT based coder applied to remote sensing images
RA Kozhemiakin, AN Zemliachenko, VV Lukin, SK Abramov, B Vozel
, 22-29, 2016
72016
A Method for Predicting Denoising Efficiency for Color Images
OS Rubel, RA Kozhemiakin, SS Krivenko, VV Lukin, B Vozel, K Chehdi
35th International conference on electronics and nanotechnology (ELNANO, 2015
72015
Efficiency analysis for 3D filtering of multichannel images
RA Kozhemiakin, O Rubel, SK Abramov, VV Lukin, B Vozel, K Chehdi
Image and Signal Processing for Remote Sensing XXII 10004, 46-56, 2016
62016
Filtering of Dual-Polarization Radar Images Based on Discrete Cosine Transform
RA Kozhemiakin, VV Lukin, B Vozel, K Chehdi
15th International Radar Symposium, 489-492, 2014
52014
VST-based lossy compression of hyperspectral data for new generation sensors
AN Zemliachenko, RA Kozhemiakin, ML Uss, SK Abramov, VV Lukin, ...
Image and Signal Processing for Remote Sensing XIX 8892, 151-162, 2013
52013
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