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Nikolay N. Ponomarenko
Mykola Ponomarenko
Person information
- affiliation: Tampere University of Technology, Laboratory of Signal Processing, Finland
- affiliation: National Aerospace University of Ukraine, Kharkov, Ukraine
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2020 – today
- 2023
- [c75]Mykola Ponomarenko
, Oleksandr Miroshnichenko, Vladimir V. Lukin, Sergey S. Krivenko
Blind denoising of dental X-ray images. Image Processing: Algorithms and Systems 2023: 1-6 - [c74]Sheyda Ghanbaralizadeh Bahnemiri, Mykola Ponomarenko
Improved Sensitivity of No-Reference Image Visual Quality Metrics to the Presence of Noise. SCIA (1) 2023: 201-214 - 2022
- [j11]Sheyda Ghanbaralizadeh Bahnemiri
Learning-Based Noise Component Map Estimation for Image Denoising. IEEE Signal Process. Lett. 29: 1407-1411 (2022) - [c73]Mykola Ponomarenko
Transfer learning for no-reference image quality metrics using large temporary image sets. Computational Imaging 2022: 1-5 - [c72]Mykola Ponomarenko
FiveNet: Joint image demosaicing, denoising, deblurring, super-resolution, and clarity enhancement. Computational Imaging 2022: 1-6 - [c71]Mykola Ponomarenko
Blind estimation of noise level based on pixels values prediction. Computational Imaging 2022: 1-5 - 2021
- [c70]Mykola Ponomarenko
Color Image Database HTID for Verification of No-Reference Metrics: Peculiarities and Preliminary Results. EUVIP 2021: 1-6 - [c69]Mykola Ponomarenko
Blind Estimation and Suppression of Additive Spatially Correlated Gaussian Noise in Images. EUVIP 2021: 1-6 - [i5]Sheyda Ghanbaralizadeh Bahnemiri, Mykola Ponomarenko, Karen O. Egiazarian:
Learning-based Noise Component Map Estimation for Image Denoising. CoRR abs/2109.11877 (2021) - 2020
- [c68]Vladimir Katkovnik
Hyperspectral complex-domain image denoising: cube complex-domain BM3D (CCDBM3D) algorithm. Image Processing: Algorithms and Systems 2020 - [c67]Mykola Ponomarenko
An expandable image database for evaluation of full-reference image visual quality metrics. Image Processing: Algorithms and Systems 2020 - [c66]Sheyda Ghanbaralizadeh Bahnemiri, Mykola Ponomarenko
On Verification of Blur and Sharpness Metrics for No-reference Image Visual Quality Assessment. MMSP 2020: 1-6 - [c65]Aki Kaipio, Mykola Ponomarenko
Merging of MOS of Large Image Databases for No-reference Image Visual Quality Assessment. MMSP 2020: 1-6
2010 – 2019
- 2019
- [c64]Mykola Ponomarenko
Adaptive Block Matching Based Quantization for Lossy Image Compression. EUVIP 2019: 4-9 - [c63]Sheyda Ghanbaralizadeh Bahnemiri, Mykola Ponomarenko
Deep Convolutional Autoencoder for Estimation of Nonstationary Noise in Images. EUVIP 2019: 238-243 - [c62]Oleg Ieremeiev, Vladimir V. Lukin, Nikolay N. Ponomarenko
Combined no-reference IQA metric and its performance analysis. Image Processing: Algorithms and Systems 2019 - [c61]Mykola Ponomarenko
Phase masks optimization for broadband diffractive imaging. Image Processing: Algorithms and Systems 2019 - [c60]Mykola Ponomarenko
Additional lossless compression of JPEG images based on BPG. Image Processing: Algorithms and Systems 2019 - [c59]Mykola Ponomarenko
Near Lossless JPEG Compression Based on Masking Effect of Non-predictable Energy of Image Regions. SCIA 2019: 173-183 - 2018
- [c58]Vladimir Katkovnik
Optimization of Hybrid Optics with Multilevel Phase Mask for Improved Depth of Focus Broadband Imaging. EUVIP 2018: 1-6 - [c57]Karen O. Egiazarian
Statistical Evaluation of Visual Quality Metrics for Image Denoising. ICASSP 2018: 6752-6756 - [c56]Oleg Ieremeiev, Vladimir V. Lukin, Nikolay N. Ponomarenko
Robust linearized combined metrics of image visual quality. Image Processing: Algorithms and Systems 2018 - [c55]Oleksandr Miroshnichenko, Mykola Ponomarenko
Compression of signs of DCT coefficients for additional lossless compression of JPEG images. Image Processing: Algorithms and Systems 2018 - [c54]Mykola Ponomarenko
Blind estimation of white Gaussian noise variance in highly textured images. Image Processing: Algorithms and Systems 2018 - [c53]Mykola Ponomarenko
Methods and tools for denoising of complex-valued images based on block-matching and high order singular value decomposition. Image Processing: Algorithms and Systems 2018 - [c52]Viacheslav V. Voronin, Evgeny A. Semenishchev
Combined local and global image enhancement algorithm. Image Processing: Algorithms and Systems 2018 - 2017
- [j10]Vladimir Katkovnik
Sparse approximations in complex domain based on BM3D modeling. Signal Process. 141: 96-108 (2017) - [c51]Vladimir Katkovnik
Complex domain nonlocal block-matching denoising based on high-order singular value decomposition (HOSVD). EUSIPCO 2017: 718-722 - [c50]Mykola Ponomarenko
Weighted MSE based spatially adaptive BM3D. EUSIPCO 2017: 733-737 - [c49]Oleg Ieremeiev
Full-reference metrics multidistortional analysis. Image Processing: Algorithms and Systems 2017: 27-35 - [c48]Karen O. Egiazarian
BM3D-HVS: Content-adaptive denoising for improved visual quality. Image Processing: Algorithms and Systems 2017: 48-55 - [i4]Vladimir Katkovnik, Mykola Ponomarenko, Karen O. Egiazarian:
Complex-valued image denosing based on group-wise complex-domain sparsity. CoRR abs/1711.00362 (2017) - [i3]Karen O. Egiazarian, Mykola Ponomarenko, Vladimir V. Lukin, Oleg Ieremeiev:
Statistical evaluation of visual quality metrics for image denoising. CoRR abs/1711.00693 (2017) - [i2]Mykola Ponomarenko, Nikolay V. Gapon, Viacheslav V. Voronin, Karen O. Egiazarian:
Blind estimation of white Gaussian noise variance in highly textured images. CoRR abs/1711.10792 (2017) - 2016
- [j9]Alexander N. Zemliachenko
Still image/video frame lossy compression providing a desired visual quality. Multidimens. Syst. Signal Process. 27(3): 697-718 (2016) - [c47]Oleg Ieremeiev
Combined full-reference image visual quality metrics. Image Processing: Algorithms and Systems 2016: 1-10 - [c46]Nadezhda Kozhemiakina
JPEG compression with recursive group coding. Image Processing: Algorithms and Systems 2016: 1-6 - 2015
- [j8]Nikolay N. Ponomarenko
Image database TID2013: Peculiarities, results and perspectives. Signal Process. Image Commun. 30: 57-77 (2015) - [c45]Nikolay N. Ponomarenko, Vladimir V. Lukin
Analysis of HVS-Metrics' Properties Using Color Image Database TID2013. ACIVS 2015: 613-624 - [c44]Vladimir V. Lukin
Combining full-reference image visual quality metrics by neural network. Human Vision and Electronic Imaging 2015: 93940K - [c43]Nikolay N. Ponomarenko, Vladimir V. Lukin
Non-local Sigma Filter. ICIAP (2) 2015: 483-493 - 2014
- [c42]Nikolay N. Ponomarenko
Image visual quality metrics verification by TID2013: Exploring of mean square error drawbacks. EUVIP 2014: 1-6 - 2013
- [j7]Nikolay N. Ponomarenko
Adaptive visually lossless JPEG-based color image compression. Signal Image Video Process. 7(3): 437-452 (2013) - [c41]Nikolay N. Ponomarenko
A New Color Image Database TID2013: Innovations and Results. ACIVS 2013: 402-413 - [c40]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 - [c39]Nikolay N. Ponomarenko, Vladimir V. Lukin, Oleg Ieremeiev, Karen O. Egiazarian
Visual quality analysis for images degraded by different types of noise. Image Processing: Algorithms and Systems 2013: 86550E - 2012
- [c38]Nikolay N. Ponomarenko
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 - [c37]Nikolay N. Ponomarenko
Sharpness metric for no-reference image visual quality assessment. Image Processing: Algorithms and Systems / Parallel Processing for Imaging Applications 2012: 829519 - 2011
- [j6]Dmitriy V. Fevralev, Nikolay N. Ponomarenko, Vladimir V. Lukin, Sergey K. Abramov
Efficiency analysis of color image filtering. EURASIP J. Adv. Signal Process. 2011: 41 (2011) - [c36]Nikolay N. Ponomarenko
Self-Similarity Measure for Assessment of Image Visual Quality. ACIVS 2011: 459-470 - [c35]Nikolay N. Ponomarenko
HVS-metric-based performance analysis of image denoising algorithms. EUVIP 2011: 156-161 - [c34]Vladimir V. Lukin
Image filtering: Potential efficiency and current problems. ICASSP 2011: 1433-1436 - [c33]Dmitriy V. Fevralev, Nikolay N. Ponomarenko
Efficiency analysis of DCT-based filters for color image database. Image Processing: Algorithms and Systems 2011: 78700R - [c32]Nikolay N. Ponomarenko
Color image lossy compression based on blind evaluation and prediction of noise characteristics. Image Processing: Algorithms and Systems 2011: 78700S - [c31]Vladimir V. Lukin
Processing and Classification of Multichannel Remote Sensing Data. MICAI (2) 2011: 487-498 - 2010
- [j5]Nikolay N. Ponomarenko
Lossy Compression of Noisy Images Based on Visual Quality: A Comprehensive Study. EURASIP J. Adv. Signal Process. 2010 (2010) - [j4]Vladimir V. Lukin
Discrete cosine transform-based local adaptive filtering of images corrupted by nonstationary noise. J. Electronic Imaging 19(2): 023007 (2010) - [c30]Nikolay N. Ponomarenko
Improved Grouping and Noise Cancellation for Automatic Lossy Compression of AVIRIS Images. ACIVS (2) 2010: 261-271 - [c29]Nikolay N. Ponomarenko
Statistical evaluation of no-reference image visual quality metrics. EUVIP 2010: 50-54 - [c28]Nikolay N. Ponomarenko
A method for blind estimation of spatially correlated noise characteristics. Image Processing: Algorithms and Systems 2010: 753208
2000 – 2009
- 2009
- [c27]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 - [c26]Vladimir V. Lukin
Local adaptive filtering of images corrupted by nonstationary noise. Image Processing: Algorithms and Systems 2009: 724506 - [c25]Nikolay N. Ponomarenko
Comparison of lossy compression performance on natural color images. PCS 2009: 1-4 - 2008
- [c24]Vladimir V. Lukin
Image filter effectiveness characterization based on HVS. Computational Imaging 2008: 68140 - [c23]Nikolay N. Ponomarenko
Automatic Approaches to On-Land/On-Board Filtering and Lossy Compression of AVIRIS Images. IGARSS (3) 2008: 254-257 - [c22]Nikolay N. Ponomarenko
Adaptive DCT-based filtering of images corrupted by spatially correlated noise. Image Processing: Algorithms and Systems 2008: 68120 - [c21]Nikolay N. Ponomarenko
Color image database for evaluation of image quality metrics. MMSP 2008: 403-408 - 2007
- [j3]Rusen Öktem, Karen O. Egiazarian
Locally Adaptive DCT Filtering for Signal-Dependent Noise Removal. EURASIP J. Adv. Signal Process. 2007 (2007) - [j2]Nikolay N. Ponomarenko
High-Quality DCT-Based Image Compression Using Partition Schemes. IEEE Signal Process. Lett. 14(2): 105-108 (2007) - [c20]Vladimir V. Lukin
Compression of noisy Bayer pattern color filter array images. Computational Imaging 2007: 64980K - [c19]Nikolay N. Ponomarenko
An automatic approach to lossy compression of AVIRIS images. IGARSS 2007: 472-475 - [c18]Nikolay N. Ponomarenko
Prediction of signs of DCT coefficients in block-based lossy image compression. IPAS 2007: 64970 - [c17]Vladimir V. Lukin
Object classification, segmentation, and parameter estimation in multichannel images by classifier learning with clustering of local parameters. IPAS 2007: 649712 - [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
- [c16]Nikolay N. Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian
Hybrid Sigma Filter for Processing Images Corrupted by Multiplicative Noise. ACIVS 2006: 46-54 - [c15]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 - [c14]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 - [c13]Nikolay N. Ponomarenko
Locally adaptive image filtering based on learning with clustering. Image Processing: Algorithms and Systems 2006: 94-105 - 2005
- [j1]Oleg V. Tsymbal, Vladimir V. Lukin
Three-State Locally Adaptive Texture Preserving Filter for Radar and Optical Image Processing. EURASIP J. Adv. Signal Process. 2005(8): 1185-1204 (2005) - [c12]Nikolay N. Ponomarenko
Lossy Compression of Images with Additive Noise. ACIVS 2005: 381-386 - [c11]Nikolay N. Ponomarenko
Cascade Fractal Image Compression and its Modification. ICASSP (2) 2005: 361-364 - [c10]Nikolay N. Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko Astola:
DCT Based High Quality Image Compression. SCIA 2005: 1177-1185 - 2004
- [c9]Nikolay N. Ponomarenko
Robust Lee local statistic filter for removal of mixed multiplicative and impulse noise. Image Processing: Algorithms and Systems 2004: 267-277 - 2003
- [c8]Nikolay N. Ponomarenko
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
- [c7]Nikolay N. Ponomarenko, Karen O. Egiazarian, Vladimir V. Lukin
Compression of Image Block Means for Non-equal Size Partition Schemes Using Delaunay Triangulation and Prediction. DCC 2002: 468 - [c6]Nikolay N. Ponomarenko
Digital elevation map reconstruction from isogram map using iterative DCT algorithm with nonlinear contraints. Image Processing: Algorithms and Systems 2002: 396-405 - [c5]Vladimir V. Lukin
Automated robust procedure for SAR image filtering and preliminary analysis. SAR 2002: 0000 - 2001
- [c4]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 - 2000
- [c3]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
1990 – 1999
- 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
[c75] [c74] [j11] [c73] [c72] [c71] [c70] [c69] [i5] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [j10] [c51] [c50] [c49] [c48] [i4] [i3] [i2] [j9] [c47] [c46] [j8] [c45] [c44] [c43] [c42] [j7] [c41] [c40] [c39] [c38] [c37] [j6] [c36] [c35] [c34] [c33] [c32] [j5] [j4] [c29] [c28] [c27] [c26] [c25] [c24] [c22] [c21] [j3] [j2] [c20] [c18] [c17] [i1] [c16] [c14] [c13] [j1] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4]
Oleg Ieremeiev
aka: Oleg Eremeev
aka: Oleg Eremeev
Vladimir V. Lukin
aka: Vladimir Vasilyevich Lukin
aka: Vladimir Vasilyevich Lukin
[c75] [c71] [c70] [c69] [c67] [c62] [c60] [c57] [c56] [c55] [c49] [c48] [i3] [j9] [c47] [c46] [j8] [c45] [c44] [c43] [c42] [j7] [c41] [c40] [c39] [c38] [c37] [j6] [c36] [c35] [c34] [c33] [c32] [c31] [j5] [j4] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [j3] [j2] [c20] [c19] [c17] [i1] [c16] [c15] [c14] [c13] [j1] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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