| 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 | 34 | 2021 |
| NN-based prediction of sentinel-1 SAR image filtering efficiency O Rubel, V Lukin, A Rubel, K Egiazarian Geosciences 9 (7), 290, 2019 | 15 | 2019 |
| 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 | 14 | 2018 |
| Analysis of visual quality for denoised images A Rubel, O Rubel, V Lukin 2017 14th International Conference The Experience of Designing and …, 2017 | 13 | 2017 |
| Combined no-reference image quality metrics for visual quality assessment optimized for remote sensing images A Rubel, O Ieremeiev, V Lukin, J Fastowicz, K Okarma Applied Sciences 12 (4), 1986, 2022 | 11 | 2022 |
| Blind Prediction of Original Image Quality for Sentinel SAR Data O Rubel, A Rubel, V Lukin, M Carli, K Egiazarian 2019 8th European Workshop on Visual Information Processing (EUVIP), 105-110, 2019 | 8 | 2019 |
| Regression-based analysis of visual quality for denoised images A Rubel, V Lukin 2017 4th International Scientific-Practical Conference Problems of …, 2017 | 8 | 2017 |
| Improved Noisy Image Quality Assessment Using Multilayer Neural Networks A Rubel, O Rubel, V Abramova, G Proskura, V Lukin 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering …, 2019 | 6 | 2019 |
| Prediction of Lee filter performance for Sentinel-1 SAR images O Rubel, V Lukin, A Rubel, K Egiazarian Electronic Imaging 32, 1-7, 2020 | 5 | 2020 |
| On Prediction of Image Denoising Expedience Using Neural Networks A Rubel, O Rubel, V Lukin 2018 International Scientific-Practical Conference Problems of …, 2018 | 5 | 2018 |
| Denoising efficiency analysis based on no-reference image quality assessment A Rubel, V Lukin 2018 14th International Conference on Advanced Trends in Radioelecrtronics …, 2018 | 4 | 2018 |
| Neural network-based prediction of visual quality for noisy images A Rubel, O Rubel, V Lukin 2019 IEEE 15th International Conference on the Experience of Designing and …, 2019 | 3 | 2019 |
| Detection of DCT coefficient modulation schemes in JPEG images O Fedorov, A Rubel, A Omelchenko 2016 26th International Conference Radioelektronika (RADIOELEKTRONIKA), 231-234, 2016 | 2 | 2016 |
| Detection of Hidden Data Embedded by the Koch and Zhao Method AS Rubel, OV Fedorov, AV Omelchenko Kharkiv, Ukraine, 2015 | 2 | 2015 |
| Automatic Decision Undertaking on Expedience of Image Denoising Based on Filter Efficiency Prediction A Rubel, O Rubel, R Tsekhmystro, V Rebrov, V Lukin International Symposium of Space Optical Instruments and Applications, 504-524, 2022 | 1 | 2022 |
| Decision-making on image denoising expedience A Rubel, O Rubel, V Lukin, K Egiazarian Electronic Imaging 33, 1-7, 2021 | 1 | 2021 |
| NOISE CHARACTERISTICS ESTIMATION IN REAL-WORLD IMAGES USING CONVOLUTIONAL NEURAL NETWORK IN MOBILE PLATFORM РВ Цехмистро, ВВ Абрамова, АС Рубель, МЛ Усс, ГА Проскура, ... Radioelectronic and Computer Systems, 60-70, 2019 | 1 | 2019 |
| ЕФЕКТИВНІ МЕТОДИ ІНТЕЛЕКТУАЛЬНОЇ ОБРОБКИ ЗОБРАЖЕНЬ ТА ВІДЕО НА ОСНОВІ МЕТРИК ВІЗУАЛЬНОЇ ЯКОСТІ ДЛЯ ПЕРСПЕКТИВНИХ ЗАСТОСУВАНЬ F Li, V Lukin, S Abramov, A Rubel, K Okarma, P Lech, W Chlewicki, ... European Science, 94-145, 2023 | | 2023 |
| ОБРОБКА БАГАТОКАНАЛЬНИХ ДАНИХ ДИСТАНЦІЙНОГО ЗОНДУВАННЯ З ВИКОРИСТАННЯМ НЕЙРОМЕРЕЖ V Benoit, A Rubel, O Rubel, I Vasilyeva, M Uss, G Proskura, V Lukin European Science, 85-130, 2023 | | 2023 |
| Optimal parameters selection of the Frost filter based on despeckling efficiency prediction for Sentinel SAR images OS Rubel, AS Rubel, V Lukin, K Egiazarian Electronic Imaging 34, 1-6, 2022 | | 2022 |
Vladimir Lukin, Владимир ЛукинNational Aerospace University, Kharkov, Ukraine在 ai.kharkov.com 的电子邮件经过验证
