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ORCIDVladimir Lukin 0001
Vladimir V. Lukin – Vladimir Vasilyevich Lukin – Volodymyr V. Lukin
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- affiliation: National Aerospace University, Kharkiv, Ukraine
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2020 – today
- 2024
[j54]Sergii S. Kryvenko
, Vladimir Lukin, Benoît Vozel:
Lossy Compression of Single-channel Noisy Images by Modern Coders. Remote. Sens. 16(12): 2093 (2024)- [j53]Fangfang Li, Oleg Ieremeiev, Vladimir Lukin, Karen O. Egiazarian:
BPG-Based Lossy Compression of Three-Channel Remote Sensing Images with Visual Quality Control. Remote. Sens. 16(15): 2740 (2024) - [i6]Sergey S. Krivenko, Alexander N. Zemliachenko, Vladimir Lukin, Alexander A. Zelensky:
Automated Software Tool for Compressing Optical Images with Required Output Quality. CoRR abs/2408.15275 (2024) - 2023
- [j52]Viktor O. Makarichev, Vladimir V. Lukin, Vyacheslav S. Kharchenko:
Image Compression and Protection Systems Based on Atomic Functions. Int. J. Comput. 22(3): 283-291 (2023) - [j51]Bogdan Kovalenko, Vladimir V. Lukin, Benoît Vozel:
BPG-Based Lossy Compression of Three-Channel Noisy Images with Prediction of Optimal Operation Existence and Its Parameters. Remote. Sens. 15(6): 1669 (2023) - [c138]Oleg Ieremeiev, Vladimir V. Lukin, Krzysztof Okarma, Karen O. Egiazarian:
Efficiency Increasing of No-reference Image Quality Assessment in UAV Applications. CMIS 2023: 246-260 - [c137]Bogdan Kovalenko, Vladimir V. Lukin:
BPG-based compression of Poisson noisy images. DESSERT 2023: 1-7 - [c136]Viktor O. Makarichev, Vladimir V. Lukin:
Combined Lossless/Lossy Compression of Three-channel Images. DESSERT 2023: 1-5 - [c135]Viktor O. Makarichev, Vladimir V. Lukin, Iryna V. Brysina:
Coding Improvement in the DAC Algorithm. DESSERT 2023: 1-5 - [c134]Irina V. Vasilyeva, Vladimir V. Lukin, Vyacheslav Kharchenko, Andriy Nereta:
Combined Processing of Satellite and UAV Data to Increase the Classification Reliability. IntelITSIS 2023: 539-552 - [c133]Viacheslav Oliinyk, Vladimir Lukin, Petro Brysin:
Approaches to Time Delay Estimation for Wideband Signals Embedded in Non-Gaussian Noise Received by Two Sensors. IntelITSIS 2023: 601-615 - [c132]Mykola Ponomarenko, Oleksandr Miroshnichenko, Vladimir V. Lukin, Sergey S. Krivenko, Karen O. Egiazarian:
Blind denoising of dental X-ray images. Image Processing: Algorithms and Systems 2023: 1-6 - 2022
- [j50]Viktor O. Makarichev, Vladimir V. Lukin, Iryna V. Brysina, Benoît Vozel:
Spatial Complexity Reduction in Remote Sensing Image Compression by Atomic Functions. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j49]Viktor O. Makarichev, Irina V. Vasilyeva, Vladimir V. Lukin, Benoît Vozel, Andrii Shelestov, Nataliia Kussul:
Discrete Atomic Transform-Based Lossy Compression of Three-Channel Remote Sensing Images with Quality Control. Remote. Sens. 14(1): 125 (2022) - [j48]Fangfang Li, Vladimir V. Lukin, Oleg Ieremeiev, Krzysztof Okarma:
Quality Control for the BPG Lossy Compression of Three-Channel Remote Sensing Images. Remote. Sens. 14(8): 1824 (2022) - [j47]Karen O. Egiazarian, Aleksandra Pizurica, Vladimir V. Lukin:
Editorial to Special Issue "Remote Sensing Image Denoising, Restoration and Reconstruction". Remote. Sens. 14(20): 5228 (2022) - [j46]Mykhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi:
Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network. Sensors 22(3): 1231 (2022) - [j45]Viktor O. Makarichev, Vladimir V. Lukin, Oleg Illiashenko, Vyacheslav Kharchenko:
Digital Image Representation by Atomic Functions: The Compression and Protection of Data for Edge Computing in IoT Systems. Sensors 22(10): 3751 (2022) - [c131]Mykola Ponomarenko, Oleksandr Miroshnichenko, Vladimir V. Lukin, Karen O. Egiazarian:
Blind estimation of noise level based on pixels values prediction. Computational Imaging 2022: 1-5 - [c130]Viktor O. Makarichev, Vladimir V. Lukin, Iryna V. Brysina:
Comparison of DAT with DCT in a Viewpoint of Current Image Processing and Analysis Trends. DESSERT 2022: 1-7 - [c129]Fangfang Li, Vladimir Lukin:
Providing a Desired Compression Ratio for Better Portable Graphics Encoder of Color Images: Design and Analysis. DMI 2022: 633-640 - [c128]Fangfang Li, Vladimir Lukin, Xianfeng Liu:
Strange Images with Non-monotonous Rate-Distortion Curves in Lossy Image Compression. ICISCAE 2022: 11-15 - [c127]Viktor O. Makarichev, Galina Proskura, Oleksii S. Rubel, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi:
Lossy Compression of Three-Channel Remote Sensing Images with "Color" Component Downscaling. IGARSS 2022: 2215-2218 - [c126]Mykhail M. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi:
Improvement of Spatial Localization Accuracy in Learning-Based Patch Matching Using Anisotropic Fractal Brownian Motion Data. IGARSS 2022: 3311-3314 - [c125]Vladimir V. Lukin, Sergey S. Krivenko, Fangfang Li, Sergey Abramov, Viktor O. Makarichev:
On Image Complexity in Viewpoint of Image Processing Performance. IntelITSIS 2022: 458-473 - [c124]Fangfang Li, Vladimir V. Lukin, Galina Proskura, Irina V. Vasilyeva, Galina Chernova:
Image Classification Accuracy Analysis for Three-channel Remote Sensing Data. IntelITSIS 2022: 505-519 - [c123]Oleg Ieremeiev, Vladimir V. Lukin, Krzysztof Okarma, Karen O. Egiazarian, Benoît Vozel:
On properties of visual quality metrics in remote sensing applications. Image Processing: Algorithms and Systems 2022: 1-6 - [c122]Oleksii S. Rubel, Andrii S. Rubel, Vladimir V. Lukin, Karen O. Egiazarian:
Optimal parameters selection of the Frost filter based on despeckling efficiency prediction for Sentinel SAR images. Image Processing: Algorithms and Systems 2022: 1-6 - [c121]Liudmyla S. Kryvenko, Olha Krylova, Sergey S. Krivenko, Vladimir V. Lukin:
A Fast Noniterative Visually Lossless Compression of Dental Images Using BPG Coder. MECO 2022: 1-6 - 2021
- [j44]Krzysztof Okarma, Wojciech Chlewicki, Mateusz Kopytek, Beata Marciniak, Vladimir V. Lukin:
Entropy-Based Combined Metric for Automatic Objective Quality Assessment of Stitched Panoramic Images. Entropy 23(11): 1525 (2021) - [j43]Oleksii S. Rubel, Vladimir V. Lukin, Sergey S. Krivenko, Vladimir Pavlikov, Simeon Zhyla, Eduard Tserne:
Reduction of Spatially Correlated Speckle in Textured SAR Images. Int. J. Comput. 20(3): 319-327 (2021) - [j42]Oleksii S. Rubel, Vladimir V. Lukin, Andrii S. Rubel, Karen O. Egiazarian:
Selection of Lee Filter Window Size Based on Despeckling Efficiency Prediction for Sentinel SAR Images. Remote. Sens. 13(10): 1887 (2021) - [j41]Benoît Vozel, Vladimir V. Lukin, Joan Serra-Sagristà:
Editorial to Special Issue "Remote Sensing Data Compression". Remote. Sens. 13(18): 3727 (2021) - [c120]Mykola Ponomarenko, Sheyda Ghanbaralizadeh Bahnemiri, Karen O. Egiazarian, Oleg Ieremeiev, Vladimir V. Lukin, Veli-Tapani Peltoketo, Jussi H. Hakala:
Color Image Database HTID for Verification of No-Reference Metrics: Peculiarities and Preliminary Results. EUVIP 2021: 1-6 - [c119]Mykola Ponomarenko, Oleksandr Miroshnichenko, Vladimir V. Lukin, Karen O. Egiazarian:
Blind Estimation and Suppression of Additive Spatially Correlated Gaussian Noise in Images. EUVIP 2021: 1-6 - [c118]Mykhail M. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi:
Similarity Measure with Additional Modality Information for Multimodal Remote Sensing Images. IGARSS 2021: 3245-3248 - [c117]Andrii S. Rubel, Oleksii S. Rubel, Vladimir V. Lukin, Karen O. Egiazarian:
Decision-making on image denoising expedience. Image Processing: Algorithms and Systems 2021 - [c116]Oleksii S. Rubel, Rostyslav Tsekhmystro, Vladimir V. Lukin, Karen O. Egiazarian:
Benchmark of Similar Blocks Search under Noisy Conditions. Image Processing: Algorithms and Systems 2021 - [c115]Viacheslav Oliinyk, Vladimir V. Lukin, Igor Djurovic:
Time Delay Estimation for Noise-Like Signals Embedded in Non-Gaussian Noise Using Robust Similarity Measures. MECO 2021: 1-4 - 2020
- [j40]Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi:
Efficient Discrimination and Localization of Multimodal Remote Sensing Images Using CNN-Based Prediction of Localization Uncertainty. Remote. Sens. 12(4): 703 (2020) - [j39]Oleg Ieremeiev, Vladimir V. Lukin, Krzysztof Okarma, Karen O. Egiazarian:
Full-Reference Quality Metric Based on Neural Network to Assess the Visual Quality of Remote Sensing Images. Remote. Sens. 12(15): 2349 (2020) - [j38]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) - [j37]Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi:
Estimation of Variance and Spatial Correlation Width for Fine-Scale Measurement Error in Digital Elevation Model. IEEE Trans. Geosci. Remote. Sens. 58(3): 1941-1956 (2020) - [c114]Viktor O. Makarichev, Vladimir V. Lukin, Iryna V. Brysina:
Discrete Atomic Compression with Different Structures of Discrete Atomic Transform: Efficiency Comparison and Perspectives of Application to Digital Images Privacy Protection. DESSERT 2020: 301-306 - [c113]Fangfang Li, Sergey S. Krivenko, Vladimir V. Lukin:
A Two-step Procedure for Image Lossy Compression by ADCTC With a Desired Quality. DESSERT 2020: 307-312 - [c112]Fangfang Li, Sergey S. Krivenko, Vladimir Lukin:
Adaptive two-step procedure of providing desired visual quality of compressed image. EITCE 2020: 407-414 - [c111]Mykola Ponomarenko, Oleg Ieremeiev, Vladimir V. Lukin, Karen O. Egiazarian:
An expandable image database for evaluation of full-reference image visual quality metrics. Image Processing: Algorithms and Systems 2020 - [c110]Sergey Abramov, Vladimir V. Lukin, Oleksii S. Rubel, Karen O. Egiazarian:
Prediction of performance of 2D DCT-based filter and adaptive selection of its parameters. IQSP 2020 - [c109]Oleksii S. Rubel, Vladimir V. Lukin, Andrii S. Rubel, Karen O. Egiazarian:
Prediction of Lee filter performance for Sentinel-1 SAR images. IQSP 2020 - [c108]Galina Proskura, Irina V. Vasilyeva, Fangfang Li, Vladimir V. Lukin:
Classification of Compressed Multichannel Images and Its Improvement. RADIOELEKTRONIKA 2020: 1-6
2010 – 2019
- 2019
- [j36]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) - [j35]Benoît Vozel, Vladimir V. Lukin, Yakoub Bazi:
Editorial to Special Issue "Multispectral Image Acquisition, Processing, and Analysis". Remote. Sens. 11(19): 2310 (2019) - [c107]Oleksii S. Rubel, Andrii S. Rubel, Vladimir V. Lukin, Marco Carli, Karen O. Egiazarian:
Blind Prediction of Original Image Quality for Sentinel Sar Data. EUVIP 2019: 105-110 - [c106]Oleg Ieremeiev, Vladimir V. Lukin, Nikolay N. Ponomarenko, Karen O. Egiazarian:
Combined no-reference IQA metric and its performance analysis. Image Processing: Algorithms and Systems 2019 - [c105]Mykola Ponomarenko, Oleksandr Miroshnichenko, Vladimir V. Lukin, Karen O. Egiazarian:
Additional lossless compression of JPEG images based on BPG. Image Processing: Algorithms and Systems 2019 - [c104]Oleksii S. Rubel, Vladimir V. Lukin, Karen O. Egiazarian:
Additive spatially correlated noise suppression by robust block matching and adaptive 3D filtering (JIST-first). Image Processing: Algorithms and Systems 2019 - 2018
- [j34]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) - [j33]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) - [c103]Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi:
NoiseNet: Signal-Dependent Noise Variance Estimation with Convolutional Neural Network. ACIVS 2018: 414-425 - [c102]Oleksii S. Rubel, Andrii S. Rubel, Vladimir V. Lukin, Karen O. Egiazarian:
Blind DCT-based prediction of image denoising efficiency using neural networks. EUVIP 2018: 1-6 - [c101]Karen O. Egiazarian, Mykola Ponomarenko, Vladimir V. Lukin, Oleg Ieremeiev:
Statistical Evaluation of Visual Quality Metrics for Image Denoising. ICASSP 2018: 6752-6756 - [c100]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 - [c99]Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi:
Combined Use of Multimodal Similarity Measures for Visual to Radar Image Registration. IGARSS 2018: 8881-8884 - [c98]Oleg Ieremeiev, Vladimir V. Lukin, Nikolay N. Ponomarenko, Karen O. Egiazarian:
Robust linearized combined metrics of image visual quality. Image Processing: Algorithms and Systems 2018 - [c97]Oleksandr Miroshnichenko, Mykola Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian:
Compression of signs of DCT coefficients for additional lossless compression of JPEG images. Image Processing: Algorithms and Systems 2018 - [c96]Viacheslav Oliinyk, Vladimir V. Lukin, Igor Djurovic:
Time delay estimation for noise-like signals embedded in non-Gaussian noise using adaptive robust DFT. MECO 2018: 1-4 - [c95]Alexander N. Zemliachenko, Vladimir V. Lukin, Igor Djurovic, Benoît Vozel:
On potential to improve DCT-based denoising with local threshold. MECO 2018: 1-4 - [i5]Mykhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi:
Estimation of Variance and Spatial Correlation Width for Fine-scale Measurement Error in Digital Elevation Model. CoRR abs/1801.07740 (2018) - 2017
- [c94]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 - [c93]Oleg Ieremeiev, Vladimir V. Lukin, Nikolay N. Ponomarenko, Karen O. Egiazarian:
Full-reference metrics multidistortional analysis. Image Processing: Algorithms and Systems 2017: 27-35 - [c92]Karen O. Egiazarian, Aram Danielyan, Nikolay N. Ponomarenko, Alessandro Foi, Oleg Ieremeiev, Vladimir V. Lukin:
BM3D-HVS: Content-adaptive denoising for improved visual quality. Image Processing: Algorithms and Systems 2017: 48-55 - [c91]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 - [c90]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 - [i4]Karen O. Egiazarian, Mykola Ponomarenko, Vladimir V. Lukin, Oleg Ieremeiev:
Statistical evaluation of visual quality metrics for image denoising. CoRR abs/1711.00693 (2017) - 2016
- [j32]Aleksey Rubel, Vladimir V. Lukin, Mikhail L. Uss, Benoît Vozel, Oleksiy B. Pogrebnyak, Karen O. Egiazarian:
Efficiency of texture image enhancement by DCT-based filtering. Neurocomputing 175: 948-965 (2016) - [j31]Alexander N. Zemliachenko, Vladimir V. Lukin, Nikolay N. Ponomarenko, Karen O. Egiazarian, Jaakko Astola:
Still image/video frame lossy compression providing a desired visual quality. Multidimens. Syst. Signal Process. 27(3): 697-718 (2016) - [j30]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) - [j29]Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi:
Efficient Rotation-Scaling-Translation Parameter Estimation Based on the Fractal Image Model. IEEE Trans. Geosci. Remote. Sens. 54(1): 197-212 (2016) - [j28]Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi:
Multimodal Remote Sensing Image Registration With Accuracy Estimation at Local and Global Scales. IEEE Trans. Geosci. Remote. Sens. 54(11): 6587-6605 (2016) - [c89]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 - [c88]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 - [c87]Oleg Ieremeiev, Vladimir V. Lukin, Nikolay N. Ponomarenko, Karen O. Egiazarian, Jaakko Astola:
Combined full-reference image visual quality metrics. Image Processing: Algorithms and Systems 2016: 1-10 - [c86]Nadezhda Kozhemiakina, Vladimir V. Lukin, Nikolay N. Ponomarenko, Jaakko Astola, Karen O. Egiazarian:
JPEG compression with recursive group coding. Image Processing: Algorithms and Systems 2016: 1-6 - [c85]Alexey A. Roenko, Vladimir V. Lukin, Igor Djurovic:
Denoising for improving time-frequency representations. MECO 2016: 120-123 - [i3]Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi:
Multimodal Remote Sensing Image Registration with Accuracy Estimation at Local and Global Scales. CoRR abs/1602.02720 (2016) - 2015
- [j27]Nikolay N. Ponomarenko, Lina Jin, Oleg Ieremeiev, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko Astola, Benoît Vozel, Kacem Chehdi, Marco Carli, Federica Battisti, C.-C. Jay Kuo:
Image database TID2013: Peculiarities, results and perspectives. Signal Process. Image Commun. 30: 57-77 (2015) - [c84]Nikolay N. Ponomarenko, Vladimir V. Lukin, Jaakko Astola, Karen O. Egiazarian:
Analysis of HVS-Metrics' Properties Using Color Image Database TID2013. ACIVS 2015: 613-624 - [c83]Oleksii S. Rubel, Vladimir V. Lukin, Fátima N. S. de Medeiros:
Prediction of Despeckling Efficiency of DCT-Based Filters Applied to SAR Images. DCOSS 2015: 159-168 - [c82]Vladimir V. Lukin, Nikolay N. Ponomarenko, Oleg Ieremeiev, Karen O. Egiazarian, Jaakko Astola:
Combining full-reference image visual quality metrics by neural network. Human Vision and Electronic Imaging 2015: 93940K - [c81]Nikolay N. Ponomarenko, Vladimir V. Lukin, Jaakko Astola, Karen O. Egiazarian:
Non-local Sigma Filter. ICIAP (2) 2015: 483-493 - [c80]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 - [c79]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 - [c78]Aleksey Rubel, Vladimir V. Lukin, Karen O. Egiazarian:
A method for predicting DCT-based denoising efficiency for grayscale images corrupted by AWGN and additive spatially correlated noise. Image Processing: Algorithms and Systems 2015: 93990P - [c77]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 - [c76]Alexey A. Roenko, Dmitriy Logachev, Vladimir V. Lukin, Igor Djurovic:
Time delay estimation for noise-like wideband signals embedded in non-Gaussian noise using robust DFT. MECO 2015: 335-338 - [i2]Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi:
Efficient Rotation-Scaling-Translation Parameters Estimation in Multimodal Settings Based on Fractal Image Model. CoRR abs/1501.02372 (2015) - 2014
- [j26]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) - [c75]Nikolay N. Ponomarenko, Vladimir V. Lukin, Oleg Ieremeiev, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian, Jaakko Astola:
Image visual quality metrics verification by TID2013: Exploring of mean square error drawbacks. EUVIP 2014: 1-6 - [c74]Aleksey Rubel, Vladimir V. Lukin, Karen O. Egiazarian:
Metric performance in similar blocks search and their use in collaborative 3D filtering of grayscale images. Image Processing: Algorithms and Systems 2014: 901909 - [c73]Alexey A. Roenko, Vladimir V. Lukin, Igor Djurovic, Marko Simeunovic:
Estimation of parameters for generalized Gaussian distribution. ISCCSP 2014: 376-379 - [c72]Aleksey Rubel, Vladimir V. Lukin, Oleksiy B. Pogrebnyak:
Efficiency of DCT-Based Denoising Techniques Applied to Texture Images. MCPR 2014: 261-270 - [c71]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 - [c70]Alexey A. Roenko, Vladimir V. Lukin, Igor Djurovic, Mikhail Chobanu:
Comparison analysis of myriad estimator calculation algorithms. MECO 2014: 240-243 - 2013
- [j25]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) - [j24]Mykhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi:
Image informative maps for component-wise estimating parameters of signal-dependent noise. J. Electronic Imaging 22(1): 013019 (2013) - [j23]Nikolay N. Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian, Leena Lepistö:
Adaptive visually lossless JPEG-based color image compression. Signal Image Video Process. 7(3): 437-452 (2013) - [c69]Nikolay N. Ponomarenko, Oleg Ieremeiev, Vladimir V. Lukin, Lina Jin, Karen O. Egiazarian, Jaakko Astola, Benoît Vozel, Kacem Chehdi, Marco Carli, Federica Battisti, C.-C. Jay Kuo:
A New Color Image Database TID2013: Innovations and Results. ACIVS 2013: 402-413 - [c68]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 - [c67]Nikolay N. Ponomarenko, Oleg Ieremeiev, Vladimir V. Lukin, Karen O. Egiazarian, Lina Jin, Jaakko Astola, Benoît Vozel, Kacem Chehdi, Marco Carli, Federica Battisti, C.-C. Jay Kuo:
Color image database TID2013: Peculiarities and preliminary results. EUVIP 2013: 106-111 - [c66]Nikolay N. Ponomarenko, Vladimir V. Lukin, Oleg Ieremeiev, Karen O. Egiazarian, Jaakko T. Astola:
Visual quality analysis for images degraded by different types of noise. Image Processing: Algorithms and Systems 2013: 86550E - [c65]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 - [c64]Alexey A. Roenko, Vladimir V. Lukin, Igor Djurovic:
DCT coefficient statistics in images corrupted by spatially correlated noise. MECO 2013: 156-159 - 2012
- [j22]Volodymyr I. Ponomaryov, Thorsten Herfet, Vladimir Vasilyevich Lukin, Bogdan Smolka, Vladimir Zlokolica:
Image and video quality improvement techniques for emerging applications. EURASIP J. Adv. Signal Process. 2012: 33 (2012) - [j21]Oleksiy B. Pogrebnyak, Vladimir V. Lukin:
Wiener discrete cosine transform-based image filtering. J. Electronic Imaging 21(4): 043020 (2012) - [j20]Igor Djurovic, Slobodan Djukanovic, Vladimir V. Lukin:
An Algorithm for the Fine Estimation of Polynomial-Phase Signals. IEEE Trans. Aerosp. Electron. Syst. 48(4): 3687-3693 (2012) - [c63]Nikolay N. Ponomarenko, Vladimir V. Lukin, Alexander A. Zelensky, Karen O. Egiazarian, Jaakko T. Astola:
Performance evaluation for 2D and 3D filtering methods of noise removal in color images. Image Processing: Algorithms and Systems / Parallel Processing for Imaging Applications 2012: 829506 - [c62]Nikolay N. Ponomarenko, Vladimir V. Lukin, Oleg Eremeev, Karen O. Egiazarian, Jaakko T. Astola:
Sharpness metric for no-reference image visual quality assessment. Image Processing: Algorithms and Systems / Parallel Processing for Imaging Applications 2012: 829519 - [c61]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 - [c60]Alexey A. Roenko, Dmitriy Kurkin, Vladimir V. Lukin, Igor Djurovic:
New estimators for tail heaviness parameter of generalized Gaussian distribution. MECO 2012: 96-99 - [c59]Alexey A. Roenko, Dmitriy Kurkin, Vladimir V. Lukin, Igor Djurovic:
Time delay estimation for noise-like wideband signals in non-Gaussian environment. MECO 2012: 100-103 - 2011
- [j19]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) - [j18]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) - [j17]Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi:
Local Signal-Dependent Noise Variance Estimation From Hyperspectral Textural Images. IEEE J. Sel. Top. Signal Process. 5(3): 469-486 (2011) - [c58]Nikolay N. Ponomarenko, Lina Jin, Vladimir V. Lukin, Karen O. Egiazarian:
Self-Similarity Measure for Assessment of Image Visual Quality. ACIVS 2011: 459-470 - [c57]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 - [c56]Nikolay N. Ponomarenko, Vladimir Vasilyevich Lukin, Karen O. Egiazarian:
HVS-metric-based performance analysis of image denoising algorithms. EUVIP 2011: 156-161 - [c55]Mikhail L. Uss, Benoît Vozel, Vladimir V. Lukin, Igor Baryshev, Kacem Chehdi:
Image noise-informative map for noise standard deviation estimation. ICASSP 2011: 961-964 - [c54]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 - [c53]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 - [c52]Nikolay N. Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian, Leena Lepistö:
Color image lossy compression based on blind evaluation and prediction of noise characteristics. Image Processing: Algorithms and Systems 2011: 78700S - [c51]Vladimir V. Lukin, Nikolay N. Ponomarenko, Andrey A. Kurekin, Oleksiy B. Pogrebnyak:
Processing and Classification of Multichannel Remote Sensing Data. MICAI (2) 2011: 487-498 - 2010
- [j16]Nikolay N. Ponomarenko, Sergey S. Krivenko, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko Astola:
Lossy Compression of Noisy Images Based on Visual Quality: A Comprehensive Study. EURASIP J. Adv. Signal Process. 2010 (2010) - [j15]Alexey A. Roenko, Vladimir V. Lukin, Igor Djurovic:
An Overview of the Adaptive Robust DFT. EURASIP J. Adv. Signal Process. 2010 (2010) - [j14]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) - [j13]Alexey A. Roenko, Vladimir V. Lukin, Igor Djurovic:
Two approaches to adaptation of sample myriad to characteristics of SalphaS distribution data. Signal Process. 90(7): 2113-2123 (2010) - [c50]Nikolay N. Ponomarenko, Vladimir V. Lukin, Mikhail Zriakhov, Arto Kaarna:
Improved Grouping and Noise Cancellation for Automatic Lossy Compression of AVIRIS Images. ACIVS (2) 2010: 261-271 - [c49]Nikolay N. Ponomarenko, Oleg Eremeev, Vladimir V. Lukin, Karen O. Egiazarian:
Statistical evaluation of no-reference image visual quality metrics. EUVIP 2010: 50-54 - [c48]Nikolay N. Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko Astola:
A method for blind estimation of spatially correlated noise characteristics. Image Processing: Algorithms and Systems 2010: 753208 - [c47]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
- [j12]Alexey A. Roenko, Vladimir V. Lukin, Igor Djurovic, Xu Zhengguang:
A novel clipping technique for filtering FM signals embedded in intensive noise. Signal Image Video Process. 3(2): 157-170 (2009) - [c46]Nikolay N. Ponomarenko, Vladimir V. Lukin, Atanas P. Gotchev, Karen O. Egiazarian:
Intra-frame depth image compression based on anisotropic partition scheme and plane approximation. IMMERSCOM 2009: 10 - [c45]Vladimir V. Lukin, Dmitriy V. Fevralev, Nikolay N. Ponomarenko, Oleksiy B. Pogrebnyak, Karen O. Egiazarian, Jaakko Astola:
Local adaptive filtering of images corrupted by nonstationary noise. Image Processing: Algorithms and Systems 2009: 724506 - [c44]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 - [c43]Nikolay N. Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian, Edward J. Delp:
Comparison of lossy compression performance on natural color images. PCS 2009: 1-4 - 2008
- [c42]Vladimir V. Lukin, Nikolay N. Ponomarenko, Sergey S. Krivenko, Karen O. Egiazarian, Jaakko Astola:
Image filter effectiveness characterization based on HVS. Computational Imaging 2008: 68140 - [c41]Nikolay N. Ponomarenko, Vladimir V. Lukin, Mikhail Zriakhov, Arto Kaarna, Jaakko Astola:
Automatic Approaches to On-Land/On-Board Filtering and Lossy Compression of AVIRIS Images. IGARSS (3) 2008: 254-257 - [c40]Nikolay N. Ponomarenko, Vladimir V. Lukin, Alexander A. Zelensky, Jaakko Astola, Karen O. Egiazarian:
Adaptive DCT-based filtering of images corrupted by spatially correlated noise. Image Processing: Algorithms and Systems 2008: 68120 - [c39]Nikolay N. Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko Astola, Marco Carli, Federica Battisti:
Color image database for evaluation of image quality metrics. MMSP 2008: 403-408 - 2007
- [j11]Rusen Öktem, Karen O. Egiazarian, Vladimir V. Lukin, Nikolay N. Ponomarenko, Oleg V. Tsymbal:
Locally Adaptive DCT Filtering for Signal-Dependent Noise Removal. EURASIP J. Adv. Signal Process. 2007 (2007) - [j10]Igor Djurovic, Vladimir V. Lukin:
Estimation of single-tone signal frequency by using the L-DFT. Signal Process. 87(6): 1537-1544 (2007) - [j9]Igor Djurovic, Vladimir V. Lukin:
Robust DFT-based filtering of pulse-like FM signals corrupted by impulsive noise. Signal Image Video Process. 1(1): 39-51 (2007) - [j8]Nikolay N. Ponomarenko, Karen O. Egiazarian, Vladimir V. Lukin, Jaakko Astola:
High-Quality DCT-Based Image Compression Using Partition Schemes. IEEE Signal Process. Lett. 14(2): 105-108 (2007) - [c38]Vladimir V. Lukin, Nikolay N. Ponomarenko, Andriy V. Bazhyna, Karen O. Egiazarian:
Compression of noisy Bayer pattern color filter array images. Computational Imaging 2007: 64980K - [c37]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 - [c36]Nikolay N. Ponomarenko, Vladimir V. Lukin, Mikhail Zriakhov, Arto Kaarna, Jaakko Astola:
An automatic approach to lossy compression of AVIRIS images. IGARSS 2007: 472-475 - [c35]Vladimir V. Lukin, Nikolay N. Ponomarenko, Alexander A. Zelensky, Karen O. Egiazarian, Jaakko Astola:
Object classification, segmentation, and parameter estimation in multichannel images by classifier learning with clustering of local parameters. IPAS 2007: 649712 - [c34]Vladimir V. Lukin, Alexey A. Roenko, Igor Djurovic, Ljubisa Stankovic:
Robust DFT based on adaptive censored estimate for FM signal processing in non-Gaussian noise environment. ISSPA 2007: 1-4 - [i1]Nikolay N. Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko Astola, Boris Ryabko:
Fast Recursive Coding Based on Grouping of Symbols. CoRR abs/0708.2893 (2007) - 2006
- [j7]Igor Djurovic, Vladimir V. Lukin:
Robust DFT with high breakdown point for complex-valued impulse noise environment. IEEE Signal Process. Lett. 13(1): 25-28 (2006) - [c33]Nikolay N. Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko Astola, Benoît Vozel, Kacem Chehdi:
Hybrid Sigma Filter for Processing Images Corrupted by Multiplicative Noise. ACIVS 2006: 46-54 - [c32]Vladimir V. Lukin, Nikolay N. Ponomarenko, Andrey A. Kurekin, Kenneth Lever, Oleksiy B. Pogrebnyak, Luis Pastor Sánchez Fernández:
Approaches to Classification of Multichannel Images. CIARP 2006: 794-803 - [c31]Nikolay N. Ponomarenko, Mikhail Zriakhov, Vladimir V. Lukin, Jaakko T. Astola, Karen O. Egiazarian:
Estimation of accessible quality in noisy image compression. EUSIPCO 2006: 1-4 - [c30]Vladimir V. Lukin, Oleg V. Tsymbal, Benoît Vozel, Kacem Chehdi:
Processing Multichannel Radar Images by Modified Vector Sigma Fukter FIR Edge Detectuib Ebgabcement. ICASSP (2) 2006: 833-836 - [c29]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 - [c28]Nikolay N. Ponomarenko, Vladimir V. Lukin, Alexander A. Zelensky, Karen O. Egiazarian, Jaakko Astola:
Locally adaptive image filtering based on learning with clustering. Image Processing: Algorithms and Systems 2006: 94-105 - [c27]Vladimir V. Lukin, Alexander V. Totsky, Dmitriy V. Fevralev, Alexey A. Roenko, Jaakko Astola, Karen O. Egiazarian:
Adaptive combined bispectrum-filtering signal processing in radar systems with low SNR. ISCAS 2006 - 2005
- [j6]Oleg V. Tsymbal, Vladimir V. Lukin, Nikolay N. Ponomarenko, Alexander A. Zelensky, Karen O. Egiazarian, Jaakko Astola:
Three-State Locally Adaptive Texture Preserving Filter for Radar and Optical Image Processing. EURASIP J. Adv. Signal Process. 2005(8): 1185-1204 (2005) - [c26]Nikolay N. Ponomarenko, Vladimir V. Lukin, Mikhail Zriakhov, Karen O. Egiazarian, Jaakko Astola:
Lossy Compression of Images with Additive Noise. ACIVS 2005: 381-386 - [c25]Nikolay N. Ponomarenko, Karen O. Egiazarian, Vladimir V. Lukin, Jaakko Astola:
Cascade Fractal Image Compression and its Modification. ICASSP (2) 2005: 361-364 - [c24]Igor Djurovic, Ljubisa Stankovic, Vladimir V. Lukin:
Combination of non-linear filters in time and frequency domain. ISSPA 2005: 727-730 - [c23]Nikolay N. Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko Astola:
DCT Based High Quality Image Compression. SCIA 2005: 1177-1185 - [c22]Andrey A. Kurekin, Alexander N. Dolia, Dave Marshall, Vladimir V. Lukin, Kenneth Lever:
Mitigation of image impairments for multichannel remote sensing data fusion. Visual Information Processing 2005: 145-156 - 2004
- [j5]Antti Niemistö, Ilya Shmulevich, Vladimir Vasilyevich Lukin, Alexander N. Dolia, Olli Yli-Harja:
Correction of Misclassifications Using a Proximity-Based Estimation Method. EURASIP J. Adv. Signal Process. 2004(8): 1142-1155 (2004) - [j4]Oleg V. Tsymbal, Volodymyr V. Lukin, Pertti Koivisto, Volodymyr P. Melnik:
Removal of impulse bursts in satellite Images. Int. J. Comput. 3(2): 56-63 (2004) - [c21]Nikolay N. Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko Astola:
Robust Lee local statistic filter for removal of mixed multiplicative and impulse noise. Image Processing: Algorithms and Systems 2004: 267-277 - 2003
- [j3]Pertti Koivisto, Jaakko Astola, Vladimir V. Lukin, Vladimir P. Melnik, Oleg V. Tsymbal:
Removing Impulse Bursts from Images by Training-Based Filtering. EURASIP J. Adv. Signal Process. 2003(3): 223-237 (2003) - [c20]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 - [c19]Vladimir V. Lukin, Alexander V. Totsky, Andrey A. Kurekin, Igor V. Kurbatov, Jaakko Astola, Karen O. Egiazarian:
Signal waveform reconstruction from noisy bispectrum estimations pre-processed by vector filters. ISSPA (2) 2003: 169-172 - 2002
- [c18]Nikolay N. Ponomarenko, Karen O. Egiazarian, Vladimir V. Lukin, Jaakko Astola:
Compression of Image Block Means for Non-equal Size Partition Schemes Using Delaunay Triangulation and Prediction. DCC 2002: 468 - [c17]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 - [c16]Nikolay N. Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko T. Astola:
Digital elevation map reconstruction from isogram map using iterative DCT algorithm with nonlinear contraints. Image Processing: Algorithms and Systems 2002: 396-405 - [c15]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 - 2001
- [c14]Nikolay N. Ponomarenko, Karen O. Egiazarian, Vladimir V. Lukin, Jaakko T. Astola:
Lossless acceleration of fractal compression using domain and range block local variance analysis. ICIP (2) 2001: 419-422 - [c13]Pertti T. Koivisto, Jaakko T. Astola, Vladimir V. Lukin, Vladimir P. Melnik, Oleg V. Tsymbal:
Removing impulse bursts from images by training-based soft morphological filtering. Visual Information Processing 2001: 24-35 - 2000
- [c12]Vladimir V. Lukin, Vladimir P. Melnik, Victor I. Chemerovsky, Sari Peltonen, Pauli Kuosmanen:
Use of homomorphic transforms in locally adaptive filtering of radar images. Electronic Imaging: Nonlinear Image Processing 2000 - [c11]Nikolay N. Ponomarenko, Vladimir V. Lukin, Alexander A. Zelensky, Pertti T. Koivisto, Jaakko T. Astola:
Applications and properties of sigma and mean filters with adaptive window size. Electronic Imaging: Nonlinear Image Processing 2000 - [c10]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 - [c9]Vladimir V. Lukin, Tapio Antero Saramäki:
Design and properties of step-like weighting windows. ISCAS 2000: 108-111
1990 – 1999
- 1999
- [c8]Vladimir V. Lukin, Vladimir P. Melnik, Victor I. Chemerovsky, Alexander A. Zelensky, Jaakko T. Astola, Pauli Kuosmanen, Heikki Huttunen:
Property analysis of noise-suppressing L-filters for speckle image processing. Electronic Imaging: Nonlinear Image Processing 1999 - [c7]Alexander N. Dolia, Adrian Burian, Vladimir V. Lukin, Corneliu Rusu, Andrey A. Kurekin, Alexander A. Zelensky:
Neural network application for primary local recognition and nonlinear adaptive filtering of images. ICECS 1999: 847-850 - [c6]Andrey A. Kurekin, Vladimir V. Lukin, Alexander A. Zelensky, Pertti Koivisto, Jaakko Astola, Kari P. Saarinen:
Comparison of component and vector filter performance with application to multichannel and color image processing. NSIP 1999: 38-42 - [c5]Vladimir V. Lukin, Alexander A. Zelensky, Natalya O. Tulyakova, Vladimir P. Melnik:
Adaptive method for 1-D signal processing based on nonlinear filter bank and Z-parameter. NSIP 1999: 287-291 - [c4]Vladimir V. Lukin, Victor I. Chemerovsky, Vladimir P. Melnik, Sari Peltonen, Pauli Kuosmanen:
Iterative procedures for nonlinear filtering of images. NSIP 1999: 432-436 - [c3]Sari Peltonen, Pauli Kuosmanen, Vladimir V. Lukin, Vladimir P. Melnik:
Odif for Sample Variance and for Generalized Quasirange. SIP 1999: 230-234 - 1997
- [j2]Vladimir P. Melnik, Vladimir V. Lukin, Alexander A. Zelensky, Heikki Huttunen, Jaakko Astola:
Nonlinear locally adaptive and iterative algorithms of image restoration. J. Electronic Imaging 6(4): 439-452 (1997) - 1996
- [j1]Vladimir V. Lukin, Vladimir P. Melnik, Oleksiy B. Pogrebnyak, Alexander A. Zelensky, Jaakko Astola, Kari P. Saarinen:
Digital adaptive robust algorithms for radar image filtering. J. Electronic Imaging 5(3): 410-421 (1996) - [c2]Vladimir V. Lukin, Nikolay N. Ponomarenko, Jaakko T. Astola, Kari P. Saarinen:
Algorithms of image nonlinear adaptive filtering using fragment recognition by expert system. Electronic Imaging: Nonlinear Image Processing 1996: 0000 - [c1]Vladimir V. Lukin, Nikolay N. Ponomarenko, Pauli Kuosmanen, Jaakko T. Astola:
Modified sigma filter for processing images corrupted by multiplicative and impulsive noise. EUSIPCO 1996: 1-4
Coauthor Index
Jaakko Astola
aka: Jaakko T. Astola
aka: Jaakko T. Astola
[j31] [c87] [c86] [j27] [c84] [c82] [c81] [j26] [c75] [c69] [c67] [c66] [c63] [c62] [j19] [c57] [c54] [c53] [j16] [j14] [c48] [c47] [c45] [c44] [c42] [c41] [c40] [c39] [j8] [c36] [c35] [i1] [c33] [c31] [c28] [c27] [j6] [c26] [c25] [c23] [c21] [j3] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c11] [c10] [c8] [c6] [j2] [j1] [c2] [c1]
[j53] [c138] [c132] [j47] [c131] [c123] [c122] [j42] [c120] [c119] [c117] [c116] [j39] [j38] [c111] [c110] [c109] [j36] [c107] [c106] [c105] [c104] [j34] [j33] [c102] [c101] [c98] [c97] [c93] [c92] [i4] [j32] [j31] [j30] [c87] [c86] [j27] [c84] [c82] [c81] [c78] [j26] [c75] [c74] [j23] [c69] [c67] [c66] [c63] [c62] [c61] [j19] [c58] [c56] [c54] [c53] [c52] [j16] [j14] [c49] [c48] [c46] [c45] [c43] [c42] [c40] [c39] [j11] [j8] [c38] [c35] [i1] [c33] [c31] [c28] [c27] [j6] [c26] [c25] [c23] [c21] [c20] [c19] [c18] [c16] [c15] [c14]
Oleg Ieremeiev
aka: Oleg Eremeev
aka: Oleg Eremeev
Nikolay N. Ponomarenko
aka: Mykola Ponomarenko
aka: Mykola Ponomarenko
[c132] [c131] [c120] [c119] [c111] [c106] [c105] [c101] [c98] [c97] [c93] [c92] [i4] [j31] [c87] [c86] [j27] [c84] [c82] [c81] [c75] [j23] [c69] [c67] [c66] [c63] [c62] [j19] [c58] [c56] [c54] [c53] [c52] [c51] [j16] [j14] [c50] [c49] [c48] [c46] [c45] [c43] [c42] [c41] [c40] [c39] [j11] [j8] [c38] [c36] [c35] [i1] [c33] [c32] [c31] [c28] [j6] [c26] [c25] [c23] [c21] [c20] [c18] [c16] [c15] [c14] [c11] [c2] [c1]
Oleksii S. Rubel
aka: Aleksey Rubel
aka: Aleksey Rubel
Mikhail L. Uss
aka: Mykhail L. Uss
aka: Mykhail L. Uss
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