| Image database TID2013: Peculiarities, results and perspectives N Ponomarenko, L Jin, O Ieremeiev, V Lukin, K Egiazarian, J Astola, ... Signal processing: Image communication 30, 57-77, 2015 | 1153 | 2015 |
| Color image database TID2013: Peculiarities and preliminary results N Ponomarenko, O Ieremeiev, V Lukin, K Egiazarian, L Jin, J Astola, ... European workshop on visual information processing (EUVIP), 106-111, 2013 | 569 | 2013 |
| Local signal-dependent noise variance estimation from hyperspectral textural images ML Uss, B Vozel, VV Lukin, K Chehdi IEEE Journal of Selected Topics in Signal Processing 5 (3), 469-486, 2011 | 121 | 2011 |
| A new color image database TID2013: Innovations and results N Ponomarenko, O Ieremeiev, V Lukin, L Jin, K Egiazarian, J Astola, ... Advanced Concepts for Intelligent Vision Systems: 15th International …, 2013 | 91 | 2013 |
| Image informative maps for component-wise estimating parameters of signal-dependent noise ML Uss, B Vozel, VV Lukin, K Chehdi Journal of Electronic Imaging 22 (1), 013019-013019, 2013 | 73 | 2013 |
| Identification of the nature of noise and estimation of its statistical parameters by analysis of local histograms L Beaurepaire, K Chehdi, B Vozel 1997 IEEE International Conference on Acoustics, Speech, and Signal …, 1997 | 63 | 1997 |
| Hyperspectral remote sensing of coral reefs by semi-analytical model inversion–Comparison of different inversion setups T Petit, T Bajjouk, P Mouquet, S Rochette, B Vozel, C Delacourt Remote Sensing of Environment 190, 348-365, 2017 | 62 | 2017 |
| 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 | 60 | 2014 |
| Methods and automatic procedures for processing images based on blind evaluation of noise type and characteristics VV Lukin, SK Abramov, NN Ponomarenko, ML Uss, M Zriakhov, B Vozel, ... Journal of applied remote sensing 5 (1), 053502-053502-26, 2011 | 58 | 2011 |
| Image informative maps for estimating noise standard deviation and texture parameters M Uss, B Vozel, V Lukin, S Abramov, I Baryshev, K Chehdi EURASIP Journal on Advances in Signal Processing 2011, 1-12, 2011 | 53 | 2011 |
| Maximum likelihood estimation of spatially correlated signal-dependent noise in hyperspectral images ML Uss, B Vozel, VV Lukin, K Chehdi Optical Engineering 51 (11), 111712-111712, 2012 | 49 | 2012 |
| Noise identification and estimation of its statistical parameters by using unsupervised variational classification B Vozel, K Chehdi, L Klaine, VV Lukin, SK Abramov 2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006 | 43 | 2006 |
| A precise lower bound on image subpixel registration accuracy ML Uss, B Vozel, VA Dushepa, VA Komjak, K Chehdi IEEE transactions on geoscience and remote sensing 52 (6), 3333-3345, 2013 | 41 | 2013 |
| Lossy compression of noisy remote sensing images with prediction of optimal operation point existence and parameters AN Zemliachenko, SK Abramov, VV Lukin, B Vozel, K Chehdi Journal of Applied Remote Sensing 9 (1), 095066-095066, 2015 | 38 | 2015 |
| Application to multispectral images of a blind identification system for blur, additive, multiplicative and impulse noises MP Carton-Vandecandelaere, B Vozel, L Klaine, K Chehdi 2002 11th European Signal Processing Conference, 1-4, 2002 | 37 | 2002 |
| Image quality prediction for DCT-based compression R Kozhemiakin, V Lukin, B Vozel 2017 14th International Conference The Experience of Designing and …, 2017 | 32 | 2017 |
| Multimodal remote sensing image registration with accuracy estimation at local and global scales ML Uss, B Vozel, VV Lukin, K Chehdi IEEE Transactions on Geoscience and Remote Sensing 54 (11), 6587-6605, 2016 | 32 | 2016 |
| Filtering of radar images based on blind evaluation of noise characteristics VV Lukin, NN Ponomarenko, SK Abramov, B Vozel, K Chehdi, JT Astola Image and Signal Processing for Remote Sensing XIV 7109, 225-236, 2008 | 31 | 2008 |
| 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 | 30 | 2018 |
| 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 | 30 | 2016 |
Vladimir Lukin, Âëàäèìèð ËóêèíNational Aerospace University, Kharkov, UkraineVerified email at ai.kharkov.com
