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ORCIDSergey K. Abramov
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2020 – today
- 2021
[j11]Mikhail L. Uss
, Benoît Vozel, Sergey K. Abramov, Kacem Chehdi:
Selection of a Similarity Measure Combination for a Wide Range of Multimodal Image Registration Cases. IEEE Trans. Geosci. Remote. Sens. 59(1): 60-75 (2021)- 2020
- [j10]Vladimir V. Lukin, Irina V. Vasilyeva, Sergey S. Krivenko, Fangfang Li, Sergey K. Abramov, Oleksii S. Rubel, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian:
Lossy Compression of Multichannel Remote Sensing Images with Quality Control. Remote. Sens. 12(22): 3840 (2020)
2010 – 2019
- 2019
- [j9]Sergey K. Abramov, Mikhail L. Uss, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian:
Enhancement of Component Images of Multispectral Data by Denoising with Reference. Remote. Sens. 11(6): 611 (2019) - 2018
- [j8]Oleksii S. Rubel, Vladimir V. Lukin, Sergey K. Abramov, Benoît Vozel, Oleksiy B. Pogrebnyak, Karen O. Egiazarian:
Is Texture Denoising Efficiency Predictable? Int. J. Pattern Recognit. Artif. Intell. 32(1): 1860005:1-1860005:32 (2018) - [j7]Alexander N. Zemliachenko, Ruslan A. Kozhemiakin, Sergey K. Abramov, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian:
Prediction of Compression Ratio for DCT-Based Coders With Application to Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(1): 257-270 (2018) - [c25]Mo Zhang, Benoît Vozel, Kacem Chehdi, Mykhail L. Uss, Sergey K. Abramov, Vladimir V. Lukin:
Hyperspectral Image Restoration Based on Salient Edges. IGARSS 2018: 4027-4030 - 2017
- [c24]Sergey K. Abramov, Oleksii S. Rubel, Vladimir V. Lukin, Ruslan A. Kozhemiakin, Nataliia Kussul, Andrii Shelestov, Mykola Lavreniuk:
Speckle reducing for Sentinel-1 SAR data. IGARSS 2017: 2353-2356 - [c23]Victoriya Abramova, Sergey K. Abramov, Vladimir V. Lukin, Igor Djurovic, Marko Simeunovic, Benoît Vozel:
Blind evaluation of noise characteristics in multi-channel images exploiting inter-channel correlation. MECO 2017: 1-5 - [c22]Ruslan A. Kozhemiakin, Sergey K. Abramov, Vladimir V. Lukin, Blazo Djurovic, Igor Djurovic, Marko Simeunovic:
Strategies of SAR image lossy compression by JPEG2000 and SPIHT. MECO 2017: 1-6 - 2016
- [j6]Oleksii S. Rubel, Vladimir V. Lukin, Sergey K. Abramov, Benoît Vozel, Karen O. Egiazarian, Oleksiy B. Pogrebnyak:
Efficiency of texture image filtering and its prediction. Signal Image Video Process. 10(8): 1543-1550 (2016) - [c21]Vladimir V. Lukin, Alexander N. Zemliachenko, Sergey K. Abramov, Benoît Vozel, Kacem Chehdi:
Automatic lossy compression of noisy images by spiht or jpeg2000 in optimal operation point neighborhood. EUVIP 2016: 1-6 - [c20]Alexander N. Zemliachenko, Sergey K. Abramov, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi:
Improved compression ratio prediction in DCT-based lossy compression of remote sensing images. IGARSS 2016: 6966-6969 - [c19]Ruslan A. Kozhemiakin, Sergey K. Abramov, Vladimir Badenko, Blazo Djurovic, Igor Djurovic, Benoît Vozel:
Lossy compression of Landsat multispectral images. MECO 2016: 104-107 - 2015
- [c18]Alexander N. Zemliachenko, Sergey K. Abramov, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi:
Compression ratio prediction in lossy compression of noisy images. IGARSS 2015: 3497-3500 - [c17]Sergey K. Abramov, Mykhail L. Uss, Victoriya V. Abramova, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi:
On noise properties in hyperspectral images. IGARSS 2015: 3501-3504 - [c16]Ruslan A. Kozhemiakin, Sergey K. Abramov, Vladimir V. Lukin, Igor Djurovic, Benoît Vozel:
Peculiarities of 3D compression of noisy multichannel images. MECO 2015: 331-334 - 2014
- [j5]Victoriya Abramova, Sergey K. Abramov, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko Astola:
On required accuracy of mixed noise parameter estimation for image enhancement via denoising. EURASIP J. Image Video Process. 2014: 3 (2014) - [c15]Alexey A. Roenko, Vladimir V. Lukin, Sergey K. Abramov, Igor Djurovic:
Automation of analysis for correlated noise in images based on DCT coefficient statistics. MECO 2014: 112-115 - 2013
- [j4]Vladimir V. Lukin, Sergey K. Abramov, Sergey S. Krivenko, Andrey A. Kurekin, Oleksiy B. Pogrebnyak:
Analysis of classification accuracy for pre-filtered multichannel remote sensing data. Expert Syst. Appl. 40(16): 6400-6411 (2013) - [c14]Sergey K. Abramov, Victoriya Abramova, Mikhail L. Uss, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi:
Blind estimation of signal-dependent noise parameters for color image database. EUVIP 2013: 82-87 - [c13]Sergey K. Abramov, Sergey S. Krivenko, Alexey A. Roenko, Vladimir V. Lukin, Igor Djurovic, Mikhail Chobanu:
Prediction of filtering efficiency for DCT-based image denoising. MECO 2013: 97-100 - 2012
- [c12]Sergey K. Abramov, Victoriya Abramova, Vladimir V. Lukin, Karen O. Egiazarian:
Robust local scale estimators for blind evaluation of noise variance in images. ISCCSP 2012: 1-4 - 2011
- [j3]Dmitriy V. Fevralev, Nikolay N. Ponomarenko, Vladimir V. Lukin, Sergey K. Abramov, Karen O. Egiazarian, Jaakko Astola:
Efficiency analysis of color image filtering. EURASIP J. Adv. Signal Process. 2011: 41 (2011) - [j2]Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Sergey K. Abramov, Igor Baryshev, Kacem Chehdi:
Image Informative Maps for Estimating Noise Standard Deviation and Texture Parameters. EURASIP J. Adv. Signal Process. 2011 (2011) - [c11]Victoria Zabrodina, Sergey K. Abramov, Vladimir V. Lukin, Jaakko Astola, Benoît Vozel, Kacem Chehdi:
Blind estimation of mixed noise parameters in images using robust regression curve fitting. EUSIPCO 2011: 1135-1139 - [c10]Vladimir V. Lukin, Sergey K. Abramov, Nikolay N. Ponomarenko, Karen O. Egiazarian, Jaakko Astola:
Image filtering: Potential efficiency and current problems. ICASSP 2011: 1433-1436 - [c9]Dmitriy V. Fevralev, Nikolay N. Ponomarenko, Vladimir V. Lukin, Sergey K. Abramov, Karen O. Egiazarian, Jaakko T. Astola:
Efficiency analysis of DCT-based filters for color image database. Image Processing: Algorithms and Systems 2011: 78700R - 2010
- [j1]Vladimir V. Lukin, Dmitriy V. Fevralev, Nikolay N. Ponomarenko, Sergey K. Abramov, Oleksiy B. Pogrebnyak, Karen O. Egiazarian, Jaakko Astola:
Discrete cosine transform-based local adaptive filtering of images corrupted by nonstationary noise. J. Electronic Imaging 19(2): 023007 (2010) - [c8]Sergey K. Abramov, Victoriya Zabrodina, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi, Jaakko Astola:
Improved method for blind estimation of the variance of mixed noise using weighted LMS line fitting algorithm. ISCAS 2010: 2642-2645
2000 – 2009
- 2009
- [c7]Vladimir V. Lukin, Alexey A. Roenko, Sergey K. Abramov, Igor Djurovic, Jaakko Astola:
Bootstrap based Adaptation of Sample Myriad to Characteristics of SalphaS Distribution Data. ISCAS 2009: 1205-1208 - 2007
- [c6]Mikhail L. Uss, Vladimir V. Lukin, Sergey K. Abramov, Benoît Vozel, Kacem Chehdi:
Joint Estimation of Multiplicative and Impulsive Noise Parameters in Remote Sensing Images with Fractal Structure. ICASSP (1) 2007: 581-584 - 2006
- [c5]Benoît Vozel, Kacem Chehdi, Luc Klaine, Vladimir V. Lukin, Sergey K. Abramov:
Noise Identification and Estimation of its Statistical Parameters by Using Unsupervised Variational Classification. ICASSP (2) 2006: 841-844 - 2003
- [c4]Nikolay N. Ponomarenko, Vladimir V. Lukin, Sergey K. Abramov, Karen O. Egiazarian, Jaakko T. Astola:
Blind evaluation of additive noise variance in textured images by nonlinear processing of block DCT coefficients. Image Processing: Algorithms and Systems 2003: 178-189 - 2002
- [c3]Sergey K. Abramov, Vladimir V. Lukin, Alexander A. Zelensky, Jaakko T. Astola:
Blind evaluation of noise variance in images using myriad operation. Image Processing: Algorithms and Systems 2002: 192-203 - [c2]Vladimir V. Lukin, Nikolay N. Ponomarenko, Sergey K. Abramov, Karen O. Egiazarian, Jaakko T. Astola:
Automated robust procedure for SAR image filtering and preliminary analysis. SAR 2002: 0000 - 2000
- [c1]Sergey K. Abramov, Sari Peltonen, Vladimir V. Lukin, Pauli Kuosmanen, Jaakko Astola:
Analysis of outlier influence on nonlinear filter output for linearly increasing/decreasing signals with noise. EUSIPCO 2000: 1-4
Coauthor Index
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