Algorithms of image nonlinear adaptive filtering using fragment recognition by expert system. - Vladimir V. Lukin; Nikolay N. Ponomarenko; Jaakko T. Astola; Kari P. Saarinen (Electronic Imaging: Nonlinear Image Processing, 1996)

Modified sigma filter for processing images corrupted by multiplicative and impulsive noise. - Vladimir V. Lukin; Nikolay N. Ponomarenko; Pauli Kuosmanen; Jaakko T. Astola (EUSIPCO, 1996)

Digital adaptive robust algorithms for radar image filtering. - Vladimir V. Lukin; Vladimir P. Melnik; Oleksiy B. Pogrebnyak; Alexander A. Zelensky; Jaakko Astola; Kari P. Saarinen (J. Electronic Imaging, 1996)

Nonlinear locally adaptive and iterative algorithms of image restoration. - Vladimir P. Melnik; Vladimir V. Lukin; Alexander A. Zelensky; Heikki Huttunen; Jaakko Astola (J. Electronic Imaging, 1997)

Property analysis of noise-suppressing L-filters for speckle image processing. - Vladimir V. Lukin; Vladimir P. Melnik; Victor I. Chemerovsky; Alexander A. Zelensky; Jaakko T. Astola; Pauli Kuosmanen; Heikki Huttunen (Electronic Imaging: Nonlinear Image Processing, 1999)

Neural network application for primary local recognition and nonlinear adaptive filtering of images. - Alexander N. Dolia; Adrian Burian; Vladimir V. Lukin; Corneliu Rusu; Andrey A. Kurekin; Alexander A. Zelensky (ICECS, 1999)

Comparison of component and vector filter performance with application to multichannel and color image processing. - Andrey A. Kurekin; Vladimir V. Lukin; Alexander A. Zelensky; Pertti Koivisto; Jaakko Astola; Kari P. Saarinen (NSIP, 1999)

Iterative procedures for nonlinear filtering of images. - Vladimir V. Lukin; Victor I. Chemerovsky; Vladimir P. Melnik; Sari Peltonen; Pauli Kuosmanen (NSIP, 1999)

Adaptive method for 1-D signal processing based on nonlinear filter bank and Z-parameter. - Vladimir V. Lukin; Alexander A. Zelensky; Natalya O. Tulyakova; Vladimir P. Melnik (NSIP, 1999)

Odif for Sample Variance and for Generalized Quasirange. - Sari Peltonen; Pauli Kuosmanen; Vladimir V. Lukin; Vladimir P. Melnik (SIP, 1999)

Use of homomorphic transforms in locally adaptive filtering of radar images. - Vladimir V. Lukin; Vladimir P. Melnik; Victor I. Chemerovsky; Sari Peltonen; Pauli Kuosmanen (Electronic Imaging: Nonlinear Image Processing, 2000)

Applications and properties of sigma and mean filters with adaptive window size. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Alexander A. Zelensky; Pertti T. Koivisto; Jaakko T. Astola (Electronic Imaging: Nonlinear Image Processing, 2000)

Analysis of outlier influence on nonlinear filter output for linearly increasing/decreasing signals with noise. - Sergey K. Abramov; Sari Peltonen; Vladimir V. Lukin; Pauli Kuosmanen; Jaakko Astola (EUSIPCO, 2000)

Design and properties of step-like weighting windows. - Vladimir V. Lukin; Tapio Antero Saramäki (ISCAS, 2000)

Lossless acceleration of fractal compression using domain and range block local variance analysis. - Nikolay N. Ponomarenko; Karen O. Egiazarian; Vladimir V. Lukin; Jaakko T. Astola (ICIP (2), 2001)

Removing impulse bursts from images by training-based soft morphological filtering. - Pertti T. Koivisto; Jaakko T. Astola; Vladimir V. Lukin; Vladimir P. Melnik; Oleg V. Tsymbal (Visual Information Processing, 2001)

Compression of Image Block Means for Non-equal Size Partition Schemes Using Delaunay Triangulation and Prediction. - Nikolay N. Ponomarenko; Karen O. Egiazarian; Vladimir V. Lukin; Jaakko Astola (DCC, 2002)

Blind evaluation of noise variance in images using myriad operation. - Sergey K. Abramov; Vladimir V. Lukin; Alexander A. Zelensky; Jaakko T. Astola (Image Processing: Algorithms and Systems, 2002)

Digital elevation map reconstruction from isogram map using iterative DCT algorithm with nonlinear contraints. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Karen O. Egiazarian; Jaakko T. Astola (Image Processing: Algorithms and Systems, 2002)

Automated robust procedure for SAR image filtering and preliminary analysis. - Vladimir V. Lukin; Nikolay N. Ponomarenko; Sergey K. Abramov; Karen O. Egiazarian; Jaakko T. Astola (SAR, 2002)

Blind evaluation of additive noise variance in textured images by nonlinear processing of block DCT coefficients. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Sergey K. Abramov; Karen O. Egiazarian; Jaakko T. Astola (Image Processing: Algorithms and Systems, 2003)

Signal waveform reconstruction from noisy bispectrum estimations pre-processed by vector filters. - Vladimir V. Lukin; Alexander V. Totsky; Andrey A. Kurekin; Igor V. Kurbatov; Jaakko Astola; Karen O. Egiazarian (ISSPA (2), 2003)

Removing Impulse Bursts from Images by Training-Based Filtering. - Pertti Koivisto; Jaakko Astola; Vladimir V. Lukin; Vladimir P. Melnik; Oleg V. Tsymbal (EURASIP J. Adv. Signal Process., 2003)

Robust Lee local statistic filter for removal of mixed multiplicative and impulse noise. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Karen O. Egiazarian; Jaakko Astola (Image Processing: Algorithms and Systems, 2004)

Correction of Misclassifications Using a Proximity-Based Estimation Method. - Antti Niemistö; Ilya Shmulevich; Vladimir Vasilyevich Lukin; Alexander N. Dolia; Olli Yli-Harja (EURASIP J. Adv. Signal Process., 2004)

Removal of impulse bursts in satellite Images. - Oleg V. Tsymbal; Volodymyr V. Lukin; Pertti Koivisto; Volodymyr P. Melnik (Int. J. Comput., 2004)

Lossy Compression of Images with Additive Noise. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Mikhail Zriakhov; Karen O. Egiazarian; Jaakko Astola (ACIVS, 2005)

Cascade Fractal Image Compression and its Modification. - Nikolay N. Ponomarenko; Karen O. Egiazarian; Vladimir V. Lukin; Jaakko Astola (ICASSP (2), 2005)

Combination of non-linear filters in time and frequency domain. - Igor Djurovic; Ljubisa Stankovic; Vladimir V. Lukin (ISSPA, 2005)

DCT Based High Quality Image Compression. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Karen O. Egiazarian; Jaakko Astola (SCIA, 2005)

Mitigation of image impairments for multichannel remote sensing data fusion. - Andrey A. Kurekin; Alexander N. Dolia; Dave Marshall; Vladimir V. Lukin; Kenneth Lever (Visual Information Processing, 2005)

Three-State Locally Adaptive Texture Preserving Filter for Radar and Optical Image Processing. - Oleg V. Tsymbal; Vladimir V. Lukin; Nikolay N. Ponomarenko; Alexander A. Zelensky; Karen O. Egiazarian; Jaakko Astola (EURASIP J. Adv. Signal Process., 2005)

Hybrid Sigma Filter for Processing Images Corrupted by Multiplicative Noise. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Karen O. Egiazarian; Jaakko Astola; Benoît Vozel; Kacem Chehdi (ACIVS, 2006)

Approaches to Classification of Multichannel Images. - Vladimir V. Lukin; Nikolay N. Ponomarenko; Andrey A. Kurekin; Kenneth Lever; Oleksiy B. Pogrebnyak; Luis Pastor Sánchez Fernández (CIARP, 2006)

Estimation of accessible quality in noisy image compression. - Nikolay N. Ponomarenko; Mikhail Zriakhov; Vladimir V. Lukin; Jaakko T. Astola; Karen O. Egiazarian (EUSIPCO, 2006)

Processing Multichannel Radar Images by Modified Vector Sigma Fukter FIR Edge Detectuib Ebgabcement. - Vladimir V. Lukin; Oleg V. Tsymbal; Benoît Vozel; Kacem Chehdi (ICASSP (2), 2006)

Noise Identification and Estimation of its Statistical Parameters by Using Unsupervised Variational Classification. - Benoît Vozel; Kacem Chehdi; Luc Klaine; Vladimir V. Lukin; Sergey K. Abramov (ICASSP (2), 2006)

Locally adaptive image filtering based on learning with clustering. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Alexander A. Zelensky; Karen O. Egiazarian; Jaakko Astola (Image Processing: Algorithms and Systems, 2006)

Adaptive combined bispectrum-filtering signal processing in radar systems with low SNR. - Vladimir V. Lukin; Alexander V. Totsky; Dmitriy V. Fevralev; Alexey A. Roenko; Jaakko Astola; Karen O. Egiazarian (ISCAS, 2006)

Robust DFT with high breakdown point for complex-valued impulse noise environment. - Igor Djurovic; Vladimir V. Lukin (IEEE Signal Process. Lett., 2006)

Compression of noisy Bayer pattern color filter array images. - Vladimir V. Lukin; Nikolay N. Ponomarenko; Andriy V. Bazhyna; Karen O. Egiazarian (Computational Imaging, 2007)

Joint Estimation of Multiplicative and Impulsive Noise Parameters in Remote Sensing Images with Fractal Structure. - Mikhail L. Uss; Vladimir V. Lukin; Sergey K. Abramov; Benoît Vozel; Kacem Chehdi (ICASSP (1), 2007)

An automatic approach to lossy compression of AVIRIS images. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Mikhail Zriakhov; Arto Kaarna; Jaakko Astola (IGARSS, 2007)

Object classification, segmentation, and parameter estimation in multichannel images by classifier learning with clustering of local parameters. - Vladimir V. Lukin; Nikolay N. Ponomarenko; Alexander A. Zelensky; Karen O. Egiazarian; Jaakko Astola (IPAS, 2007)

Robust DFT based on adaptive censored estimate for FM signal processing in non-Gaussian noise environment. - Vladimir V. Lukin; Alexey A. Roenko; Igor Djurovic; Ljubisa Stankovic (ISSPA, 2007)

Fast Recursive Coding Based on Grouping of Symbols - Nikolay N. Ponomarenko; Vladimir V. Lukin; Karen O. Egiazarian; Jaakko Astola; Boris Ryabko (CoRR, 2007)

Locally Adaptive DCT Filtering for Signal-Dependent Noise Removal. - Rusen Öktem; Karen O. Egiazarian; Vladimir V. Lukin; Nikolay N. Ponomarenko; Oleg V. Tsymbal (EURASIP J. Adv. Signal Process., 2007)

Estimation of single-tone signal frequency by using the L-DFT. - Igor Djurovic; Vladimir V. Lukin (Signal Process., 2007)

Robust DFT-based filtering of pulse-like FM signals corrupted by impulsive noise. - Igor Djurovic; Vladimir V. Lukin (Signal Image Video Process., 2007)

High-Quality DCT-Based Image Compression Using Partition Schemes. - Nikolay N. Ponomarenko; Karen O. Egiazarian; Vladimir V. Lukin; Jaakko Astola (IEEE Signal Process. Lett., 2007)

Image filter effectiveness characterization based on HVS. - Vladimir V. Lukin; Nikolay N. Ponomarenko; Sergey S. Krivenko; Karen O. Egiazarian; Jaakko Astola (Computational Imaging, 2008)

Automatic Approaches to On-Land/On-Board Filtering and Lossy Compression of AVIRIS Images. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Mikhail Zriakhov; Arto Kaarna; Jaakko Astola (IGARSS (3), 2008)

Adaptive DCT-based filtering of images corrupted by spatially correlated noise. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Alexander A. Zelensky; Jaakko Astola; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2008)

Color image database for evaluation of image quality metrics. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Karen O. Egiazarian; Jaakko Astola; Marco Carli; Federica Battisti (MMSP, 2008)

Intra-frame depth image compression based on anisotropic partition scheme and plane approximation. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Atanas P. Gotchev; Karen O. Egiazarian (IMMERSCOM, 2009)

Local adaptive filtering of images corrupted by nonstationary noise. - Vladimir V. Lukin; Dmitriy V. Fevralev; Nikolay N. Ponomarenko; Oleksiy B. Pogrebnyak; Karen O. Egiazarian; Jaakko Astola (Image Processing: Algorithms and Systems, 2009)

Bootstrap based Adaptation of Sample Myriad to Characteristics of SalphaS Distribution Data. - Vladimir V. Lukin; Alexey A. Roenko; Sergey K. Abramov; Igor Djurovic; Jaakko Astola (ISCAS, 2009)

Comparison of lossy compression performance on natural color images. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Karen O. Egiazarian; Edward J. Delp (PCS, 2009)

A novel clipping technique for filtering FM signals embedded in intensive noise. - Alexey A. Roenko; Vladimir V. Lukin; Igor Djurovic; Xu Zhengguang (Signal Image Video Process., 2009)

Improved Grouping and Noise Cancellation for Automatic Lossy Compression of AVIRIS Images. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Mikhail Zriakhov; Arto Kaarna (ACIVS (2), 2010)

Statistical evaluation of no-reference image visual quality metrics. - Nikolay N. Ponomarenko; Oleg Eremeev; Vladimir V. Lukin; Karen O. Egiazarian (EUVIP, 2010)

A method for blind estimation of spatially correlated noise characteristics. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Karen O. Egiazarian; Jaakko Astola (Image Processing: Algorithms and Systems, 2010)

Improved method for blind estimation of the variance of mixed noise using weighted LMS line fitting algorithm. - Sergey K. Abramov; Victoriya Zabrodina; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi; Jaakko Astola (ISCAS, 2010)

Lossy Compression of Noisy Images Based on Visual Quality: A Comprehensive Study. - Nikolay N. Ponomarenko; Sergey S. Krivenko; Vladimir V. Lukin; Karen O. Egiazarian; Jaakko Astola (EURASIP J. Adv. Signal Process., 2010)

An Overview of the Adaptive Robust DFT. - Alexey A. Roenko; Vladimir V. Lukin; Igor Djurovic (EURASIP J. Adv. Signal Process., 2010)

Discrete cosine transform-based local adaptive filtering of images corrupted by nonstationary noise. - Vladimir V. Lukin; Dmitriy V. Fevralev; Nikolay N. Ponomarenko; Sergey K. Abramov; Oleksiy B. Pogrebnyak; Karen O. Egiazarian; Jaakko Astola (J. Electronic Imaging, 2010)

Two approaches to adaptation of sample myriad to characteristics of SalphaS distribution data. - Alexey A. Roenko; Vladimir V. Lukin; Igor Djurovic (Signal Process., 2010)

Self-Similarity Measure for Assessment of Image Visual Quality. - Nikolay N. Ponomarenko; Lina Jin; Vladimir V. Lukin; Karen O. Egiazarian (ACIVS, 2011)

Blind estimation of mixed noise parameters in images using robust regression curve fitting. - Victoria Zabrodina; Sergey K. Abramov; Vladimir V. Lukin; Jaakko Astola; Benoît Vozel; Kacem Chehdi (EUSIPCO, 2011)

HVS-metric-based performance analysis of image denoising algorithms. - Nikolay N. Ponomarenko; Vladimir Vasilyevich Lukin; Karen O. Egiazarian (EUVIP, 2011)

Image filtering: Potential efficiency and current problems. - Vladimir V. Lukin; Sergey K. Abramov; Nikolay N. Ponomarenko; Karen O. Egiazarian; Jaakko Astola (ICASSP, 2011)

Image noise-informative map for noise standard deviation estimation. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Igor Baryshev; Kacem Chehdi (ICASSP, 2011)

Efficiency analysis of DCT-based filters for color image database. - Dmitriy V. Fevralev; Nikolay N. Ponomarenko; Vladimir V. Lukin; Sergey K. Abramov; Karen O. Egiazarian; Jaakko T. Astola (Image Processing: Algorithms and Systems, 2011)

Color image lossy compression based on blind evaluation and prediction of noise characteristics. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Karen O. Egiazarian; Leena Lepistö (Image Processing: Algorithms and Systems, 2011)

Processing and Classification of Multichannel Remote Sensing Data. - Vladimir V. Lukin; Nikolay N. Ponomarenko; Andrey A. Kurekin; Oleksiy B. Pogrebnyak (MICAI (2), 2011)

Efficiency analysis of color image filtering. - Dmitriy V. Fevralev; Nikolay N. Ponomarenko; Vladimir V. Lukin; Sergey K. Abramov; Karen O. Egiazarian; Jaakko Astola (EURASIP J. Adv. Signal Process., 2011)

Image Informative Maps for Estimating Noise Standard Deviation and Texture Parameters. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Sergey K. Abramov; Igor Baryshev; Kacem Chehdi (EURASIP J. Adv. Signal Process., 2011)

Local Signal-Dependent Noise Variance Estimation From Hyperspectral Textural Images. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (IEEE J. Sel. Top. Signal Process., 2011)

Sharpness metric for no-reference image visual quality assessment. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Oleg Eremeev; Karen O. Egiazarian; Jaakko T. Astola (Image Processing: Algorithms and Systems / Parallel Processing for Imaging Applications, 2012)

Performance evaluation for 2D and 3D filtering methods of noise removal in color images. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Alexander A. Zelensky; Karen O. Egiazarian; Jaakko T. Astola (Image Processing: Algorithms and Systems / Parallel Processing for Imaging Applications, 2012)

Robust local scale estimators for blind evaluation of noise variance in images. - Sergey K. Abramov; Victoriya Abramova; Vladimir V. Lukin; Karen O. Egiazarian (ISCCSP, 2012)

New estimators for tail heaviness parameter of generalized Gaussian distribution. - Alexey A. Roenko; Dmitriy Kurkin; Vladimir V. Lukin; Igor Djurovic (MECO, 2012)

Time delay estimation for noise-like wideband signals in non-Gaussian environment. - Alexey A. Roenko; Dmitriy Kurkin; Vladimir V. Lukin; Igor Djurovic (MECO, 2012)

Image and video quality improvement techniques for emerging applications. - Volodymyr I. Ponomaryov; Thorsten Herfet; Vladimir Vasilyevich Lukin; Bogdan Smolka; Vladimir Zlokolica (EURASIP J. Adv. Signal Process., 2012)

Wiener discrete cosine transform-based image filtering. - Oleksiy B. Pogrebnyak; Vladimir V. Lukin (J. Electronic Imaging, 2012)

An Algorithm for the Fine Estimation of Polynomial-Phase Signals. - Igor Djurovic; Slobodan Djukanovic; Vladimir V. Lukin (IEEE Trans. Aerosp. Electron. Syst., 2012)

A New Color Image Database TID2013: Innovations and Results. - 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 (ACIVS, 2013)

Blind estimation of signal-dependent noise parameters for color image database. - Sergey K. Abramov; Victoriya Abramova; Mikhail L. Uss; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi (EUVIP, 2013)

Color image database TID2013: Peculiarities and preliminary results. - 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 (EUVIP, 2013)

Visual quality analysis for images degraded by different types of noise. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Oleg Ieremeiev; Karen O. Egiazarian; Jaakko T. Astola (Image Processing: Algorithms and Systems, 2013)

Prediction of filtering efficiency for DCT-based image denoising. - Sergey K. Abramov; Sergey S. Krivenko; Alexey A. Roenko; Vladimir V. Lukin; Igor Djurovic; Mikhail Chobanu (MECO, 2013)

DCT coefficient statistics in images corrupted by spatially correlated noise. - Alexey A. Roenko; Vladimir V. Lukin; Igor Djurovic (MECO, 2013)

Analysis of classification accuracy for pre-filtered multichannel remote sensing data. - Vladimir V. Lukin; Sergey K. Abramov; Sergey S. Krivenko; Andrey A. Kurekin; Oleksiy B. Pogrebnyak (Expert Syst. Appl., 2013)

Image informative maps for component-wise estimating parameters of signal-dependent noise. - Mykhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (J. Electronic Imaging, 2013)

Adaptive visually lossless JPEG-based color image compression. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Karen O. Egiazarian; Leena Lepistö (Signal Image Video Process., 2013)

Image visual quality metrics verification by TID2013: Exploring of mean square error drawbacks. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Oleg Ieremeiev; Benoît Vozel; Kacem Chehdi; Karen O. Egiazarian; Jaakko Astola (EUVIP, 2014)

Metric performance in similar blocks search and their use in collaborative 3D filtering of grayscale images. - Aleksey Rubel; Vladimir V. Lukin; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2014)

Estimation of parameters for generalized Gaussian distribution. - Alexey A. Roenko; Vladimir V. Lukin; Igor Djurovic; Marko Simeunovic (ISCCSP, 2014)

Efficiency of DCT-Based Denoising Techniques Applied to Texture Images. - Aleksey Rubel; Vladimir V. Lukin; Oleksiy B. Pogrebnyak (MCPR, 2014)

Automation of analysis for correlated noise in images based on DCT coefficient statistics. - Alexey A. Roenko; Vladimir V. Lukin; Sergey K. Abramov; Igor Djurovic (MECO, 2014)

Comparison analysis of myriad estimator calculation algorithms. - Alexey A. Roenko; Vladimir V. Lukin; Igor Djurovic; Mikhail Chobanu (MECO, 2014)

On required accuracy of mixed noise parameter estimation for image enhancement via denoising. - Victoriya Abramova; Sergey K. Abramov; Vladimir V. Lukin; Karen O. Egiazarian; Jaakko Astola (EURASIP J. Image Video Process., 2014)

Analysis of HVS-Metrics' Properties Using Color Image Database TID2013. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Jaakko Astola; Karen O. Egiazarian (ACIVS, 2015)

Prediction of Despeckling Efficiency of DCT-Based Filters Applied to SAR Images. - Oleksii S. Rubel; Vladimir V. Lukin; Fátima N. S. de Medeiros (DCOSS, 2015)

Combining full-reference image visual quality metrics by neural network. - Vladimir V. Lukin; Nikolay N. Ponomarenko; Oleg Ieremeiev; Karen O. Egiazarian; Jaakko Astola (Human Vision and Electronic Imaging, 2015)

Non-local Sigma Filter. - Nikolay N. Ponomarenko; Vladimir V. Lukin; Jaakko Astola; Karen O. Egiazarian (ICIAP (2), 2015)

On noise properties in hyperspectral images. - Sergey K. Abramov; Mykhail L. Uss; Victoriya V. Abramova; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi (IGARSS, 2015)

Compression ratio prediction in lossy compression of noisy images. - Alexander N. Zemliachenko; Sergey K. Abramov; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi (IGARSS, 2015)

A method for predicting DCT-based denoising efficiency for grayscale images corrupted by AWGN and additive spatially correlated noise. - Aleksey Rubel; Vladimir V. Lukin; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2015)

Peculiarities of 3D compression of noisy multichannel images. - Ruslan A. Kozhemiakin; Sergey K. Abramov; Vladimir V. Lukin; Igor Djurovic; Benoît Vozel (MECO, 2015)

Time delay estimation for noise-like wideband signals embedded in non-Gaussian noise using robust DFT. - Alexey A. Roenko; Dmitriy Logachev; Vladimir V. Lukin; Igor Djurovic (MECO, 2015)

Efficient Rotation-Scaling-Translation Parameters Estimation in Multimodal Settings Based on Fractal Image Model. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (CoRR, 2015)

Image database TID2013: Peculiarities, results and perspectives. - 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 (Signal Process. Image Commun., 2015)

Automatic lossy compression of noisy images by spiht or jpeg2000 in optimal operation point neighborhood. - Vladimir V. Lukin; Alexander N. Zemliachenko; Sergey K. Abramov; Benoît Vozel; Kacem Chehdi (EUVIP, 2016)

Improved compression ratio prediction in DCT-based lossy compression of remote sensing images. - Alexander N. Zemliachenko; Sergey K. Abramov; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi (IGARSS, 2016)

Combined full-reference image visual quality metrics. - Oleg Ieremeiev; Vladimir V. Lukin; Nikolay N. Ponomarenko; Karen O. Egiazarian; Jaakko Astola (Image Processing: Algorithms and Systems, 2016)

JPEG compression with recursive group coding. - Nadezhda Kozhemiakina; Vladimir V. Lukin; Nikolay N. Ponomarenko; Jaakko Astola; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2016)

Denoising for improving time-frequency representations. - Alexey A. Roenko; Vladimir V. Lukin; Igor Djurovic (MECO, 2016)

Efficiency of texture image enhancement by DCT-based filtering. - Aleksey Rubel; Vladimir V. Lukin; Mikhail L. Uss; Benoît Vozel; Oleksiy B. Pogrebnyak; Karen O. Egiazarian (Neurocomputing, 2016)

Still image/video frame lossy compression providing a desired visual quality. - Alexander N. Zemliachenko; Vladimir V. Lukin; Nikolay N. Ponomarenko; Karen O. Egiazarian; Jaakko Astola (Multidimens. Syst. Signal Process., 2016)

Efficiency of texture image filtering and its prediction. - Oleksii S. Rubel; Vladimir V. Lukin; Sergey K. Abramov; Benoît Vozel; Karen O. Egiazarian; Oleksiy B. Pogrebnyak (Signal Image Video Process., 2016)

Efficient Rotation-Scaling-Translation Parameter Estimation Based on the Fractal Image Model. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (IEEE Trans. Geosci. Remote. Sens., 2016)

Multimodal Remote Sensing Image Registration With Accuracy Estimation at Local and Global Scales. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (IEEE Trans. Geosci. Remote. Sens., 2016)

Speckle reducing for Sentinel-1 SAR data. - Sergey K. Abramov; Oleksii S. Rubel; Vladimir V. Lukin; Ruslan A. Kozhemiakin; Nataliia Kussul; Andrii Shelestov; Mykola Lavreniuk (IGARSS, 2017)

BM3D-HVS: Content-adaptive denoising for improved visual quality. - Karen O. Egiazarian; Aram Danielyan; Nikolay N. Ponomarenko; Alessandro Foi; Oleg Ieremeiev; Vladimir V. Lukin (Image Processing: Algorithms and Systems, 2017)

Full-reference metrics multidistortional analysis. - Oleg Ieremeiev; Vladimir V. Lukin; Nikolay N. Ponomarenko; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2017)

Blind evaluation of noise characteristics in multi-channel images exploiting inter-channel correlation. - Victoriya Abramova; Sergey K. Abramov; Vladimir V. Lukin; Igor Djurovic; Marko Simeunovic; Benoît Vozel (MECO, 2017)

Strategies of SAR image lossy compression by JPEG2000 and SPIHT. - Ruslan A. Kozhemiakin; Sergey K. Abramov; Vladimir V. Lukin; Blazo Djurovic; Igor Djurovic; Marko Simeunovic (MECO, 2017)

NoiseNet: Signal-Dependent Noise Variance Estimation with Convolutional Neural Network. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (ACIVS, 2018)

Blind DCT-based prediction of image denoising efficiency using neural networks. - Oleksii S. Rubel; Andrii S. Rubel; Vladimir V. Lukin; Karen O. Egiazarian (EUVIP, 2018)

Statistical Evaluation of Visual Quality Metrics for Image Denoising. - Karen O. Egiazarian; Mykola Ponomarenko; Vladimir V. Lukin; Oleg Ieremeiev (ICASSP, 2018)

Combined Use of Multimodal Similarity Measures for Visual to Radar Image Registration. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (IGARSS, 2018)

Hyperspectral Image Restoration Based on Salient Edges. - Mo Zhang; Benoît Vozel; Kacem Chehdi; Mykhail L. Uss; Sergey K. Abramov; Vladimir V. Lukin (IGARSS, 2018)

Robust linearized combined metrics of image visual quality. - Oleg Ieremeiev; Vladimir V. Lukin; Nikolay N. Ponomarenko; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2018)

Compression of signs of DCT coefficients for additional lossless compression of JPEG images. - Oleksandr Miroshnichenko; Mykola Ponomarenko; Vladimir V. Lukin; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2018)

Time delay estimation for noise-like signals embedded in non-Gaussian noise using adaptive robust DFT. - Viacheslav Oliinyk; Vladimir V. Lukin; Igor Djurovic (MECO, 2018)

On potential to improve DCT-based denoising with local threshold. - Alexander N. Zemliachenko; Vladimir V. Lukin; Igor Djurovic; Benoît Vozel (MECO, 2018)

Is Texture Denoising Efficiency Predictable? - Oleksii S. Rubel; Vladimir V. Lukin; Sergey K. Abramov; Benoît Vozel; Oleksiy B. Pogrebnyak; Karen O. Egiazarian (Int. J. Pattern Recognit. Artif. Intell., 2018)

Prediction of Compression Ratio for DCT-Based Coders With Application to Remote Sensing Images. - Alexander N. Zemliachenko; Ruslan A. Kozhemiakin; Sergey K. Abramov; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi; Karen O. Egiazarian (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Blind Prediction of Original Image Quality for Sentinel Sar Data. - Oleksii S. Rubel; Andrii S. Rubel; Vladimir V. Lukin; Marco Carli; Karen O. Egiazarian (EUVIP, 2019)

Combined no-reference IQA metric and its performance analysis. - Oleg Ieremeiev; Vladimir V. Lukin; Nikolay N. Ponomarenko; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2019)

Additional lossless compression of JPEG images based on BPG. - Mykola Ponomarenko; Oleksandr Miroshnichenko; Vladimir V. Lukin; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2019)

Additive spatially correlated noise suppression by robust block matching and adaptive 3D filtering (JIST-first). - Oleksii S. Rubel; Vladimir V. Lukin; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2019)

Enhancement of Component Images of Multispectral Data by Denoising with Reference. - Sergey K. Abramov; Mikhail L. Uss; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi; Karen O. Egiazarian (Remote. Sens., 2019)

Editorial to Special Issue "Multispectral Image Acquisition, Processing, and Analysis". - Benoît Vozel; Vladimir V. Lukin; Yakoub Bazi (Remote. Sens., 2019)

A Two-step Procedure for Image Lossy Compression by ADCTC With a Desired Quality. - Fangfang Li 003; Sergey S. Krivenko; Vladimir V. Lukin (DESSERT, 2020)

Discrete Atomic Compression with Different Structures of Discrete Atomic Transform: Efficiency Comparison and Perspectives of Application to Digital Images Privacy Protection. - Viktor O. Makarichev; Vladimir V. Lukin; Iryna V. Brysina (DESSERT, 2020)

Adaptive two-step procedure of providing desired visual quality of compressed image. - Fangfang Li 003; Sergey S. Krivenko; Vladimir Lukin 001 (EITCE, 2020)

An expandable image database for evaluation of full-reference image visual quality metrics. - Mykola Ponomarenko; Oleg Ieremeiev; Vladimir V. Lukin; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2020)

Prediction of performance of 2D DCT-based filter and adaptive selection of its parameters. - Sergey Abramov; Vladimir V. Lukin; Oleksii S. Rubel; Karen O. Egiazarian (IQSP, 2020)

Prediction of Lee filter performance for Sentinel-1 SAR images. - Oleksii S. Rubel; Vladimir V. Lukin; Andrii S. Rubel; Karen O. Egiazarian (IQSP, 2020)

Classification of Compressed Multichannel Images and Its Improvement. - Galina Proskura; Irina V. Vasilyeva; Fangfang Li 003; Vladimir V. Lukin (RADIOELEKTRONIKA, 2020)

Full-Reference Quality Metric Based on Neural Network to Assess the Visual Quality of Remote Sensing Images. - Oleg Ieremeiev; Vladimir V. Lukin; Krzysztof Okarma; Karen O. Egiazarian (Remote. Sens., 2020)

Lossy Compression of Multichannel Remote Sensing Images with Quality Control. - Vladimir V. Lukin; Irina V. Vasilyeva; Sergey S. Krivenko; Fangfang Li 003; Sergey K. Abramov; Oleksii S. Rubel; Benoît Vozel; Kacem Chehdi; Karen O. Egiazarian (Remote. Sens., 2020)

Efficient Discrimination and Localization of Multimodal Remote Sensing Images Using CNN-Based Prediction of Localization Uncertainty. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (Remote. Sens., 2020)

Estimation of Variance and Spatial Correlation Width for Fine-Scale Measurement Error in Digital Elevation Model. - Mikhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (IEEE Trans. Geosci. Remote. Sens., 2020)

Color Image Database HTID for Verification of No-Reference Metrics: Peculiarities and Preliminary Results. - Mykola Ponomarenko; Sheyda Ghanbaralizadeh Bahnemiri; Karen O. Egiazarian; Oleg Ieremeiev; Vladimir V. Lukin; Veli-Tapani Peltoketo; Jussi H. Hakala (EUVIP, 2021)

Blind Estimation and Suppression of Additive Spatially Correlated Gaussian Noise in Images. - Mykola Ponomarenko; Oleksandr Miroshnichenko; Vladimir V. Lukin; Karen O. Egiazarian (EUVIP, 2021)

Similarity Measure with Additional Modality Information for Multimodal Remote Sensing Images. - Mykhail M. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (IGARSS, 2021)

Decision-making on image denoising expedience. - Andrii S. Rubel; Oleksii S. Rubel; Vladimir V. Lukin; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2021)

Benchmark of Similar Blocks Search under Noisy Conditions. - Oleksii S. Rubel; Rostyslav Tsekhmystro; Vladimir V. Lukin; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2021)

Time Delay Estimation for Noise-Like Signals Embedded in Non-Gaussian Noise Using Robust Similarity Measures. - Viacheslav Oliinyk; Vladimir V. Lukin; Igor Djurovic (MECO, 2021)

Entropy-Based Combined Metric for Automatic Objective Quality Assessment of Stitched Panoramic Images. - Krzysztof Okarma; Wojciech Chlewicki; Mateusz Kopytek; Beata Marciniak; Vladimir V. Lukin (Entropy, 2021)

Reduction of Spatially Correlated Speckle in Textured SAR Images. - Oleksii S. Rubel; Vladimir V. Lukin; Sergey S. Krivenko; Vladimir Pavlikov; Simeon Zhyla; Eduard Tserne (Int. J. Comput., 2021)

Selection of Lee Filter Window Size Based on Despeckling Efficiency Prediction for Sentinel SAR Images. - Oleksii S. Rubel; Vladimir V. Lukin; Andrii S. Rubel; Karen O. Egiazarian (Remote. Sens., 2021)

Editorial to Special Issue "Remote Sensing Data Compression". - Benoît Vozel; Vladimir V. Lukin; Joan Serra-Sagristà (Remote. Sens., 2021)

Blind estimation of noise level based on pixels values prediction. - Mykola Ponomarenko; Oleksandr Miroshnichenko; Vladimir V. Lukin; Karen O. Egiazarian (Computational Imaging, 2022)

Comparison of DAT with DCT in a Viewpoint of Current Image Processing and Analysis Trends. - Viktor O. Makarichev; Vladimir V. Lukin; Iryna V. Brysina (DESSERT, 2022)

Providing a Desired Compression Ratio for Better Portable Graphics Encoder of Color Images: Design and Analysis. - Fangfang Li 003; Vladimir Lukin 001 (DMI, 2022)

Strange Images with Non-monotonous Rate-Distortion Curves in Lossy Image Compression. - Fangfang Li 003; Vladimir Lukin 001; Xianfeng Liu (ICISCAE, 2022)

Lossy Compression of Three-Channel Remote Sensing Images with "Color" Component Downscaling. - Viktor O. Makarichev; Galina Proskura; Oleksii S. Rubel; Vladimir V. Lukin; Benoît Vozel; Kacem Chehdi (IGARSS, 2022)

Improvement of Spatial Localization Accuracy in Learning-Based Patch Matching Using Anisotropic Fractal Brownian Motion Data. - Mykhail M. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (IGARSS, 2022)

Image Classification Accuracy Analysis for Three-channel Remote Sensing Data. - Fangfang Li 003; Vladimir V. Lukin; Galina Proskura; Irina V. Vasilyeva; Galina Chernova (IntelITSIS, 2022)

On Image Complexity in Viewpoint of Image Processing Performance. - Vladimir V. Lukin; Sergey S. Krivenko; Fangfang Li 003; Sergey Abramov; Viktor O. Makarichev (IntelITSIS, 2022)

On properties of visual quality metrics in remote sensing applications. - Oleg Ieremeiev; Vladimir V. Lukin; Krzysztof Okarma; Karen O. Egiazarian; Benoît Vozel (Image Processing: Algorithms and Systems, 2022)

Optimal parameters selection of the Frost filter based on despeckling efficiency prediction for Sentinel SAR images. - Oleksii S. Rubel; Andrii S. Rubel; Vladimir V. Lukin; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2022)

A Fast Noniterative Visually Lossless Compression of Dental Images Using BPG Coder. - Liudmyla S. Kryvenko; Olha Krylova; Sergey S. Krivenko; Vladimir V. Lukin (MECO, 2022)

Spatial Complexity Reduction in Remote Sensing Image Compression by Atomic Functions. - Viktor O. Makarichev; Vladimir V. Lukin; Iryna V. Brysina; Benoît Vozel (IEEE Geosci. Remote. Sens. Lett., 2022)

Editorial to Special Issue "Remote Sensing Image Denoising, Restoration and Reconstruction". - Karen O. Egiazarian; Aleksandra Pizurica; Vladimir V. Lukin (Remote. Sens., 2022)

Quality Control for the BPG Lossy Compression of Three-Channel Remote Sensing Images. - Fangfang Li 003; Vladimir V. Lukin; Oleg Ieremeiev; Krzysztof Okarma (Remote. Sens., 2022)

Discrete Atomic Transform-Based Lossy Compression of Three-Channel Remote Sensing Images with Quality Control. - Viktor O. Makarichev; Irina V. Vasilyeva; Vladimir V. Lukin; Benoît Vozel; Andrii Shelestov; Nataliia Kussul (Remote. Sens., 2022)

Digital Image Representation by Atomic Functions: The Compression and Protection of Data for Edge Computing in IoT Systems. - Viktor O. Makarichev; Vladimir V. Lukin; Oleg Illiashenko; Vyacheslav Kharchenko (Sensors, 2022)

Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network. - Mykhail L. Uss; Benoît Vozel; Vladimir V. Lukin; Kacem Chehdi (Sensors, 2022)

Efficiency Increasing of No-reference Image Quality Assessment in UAV Applications. - Oleg Ieremeiev; Vladimir V. Lukin; Krzysztof Okarma; Karen O. Egiazarian (CMIS, 2023)

BPG-based compression of Poisson noisy images. - Bogdan Kovalenko; Vladimir V. Lukin (DESSERT, 2023)

Combined Lossless/Lossy Compression of Three-channel Images. - Viktor O. Makarichev; Vladimir V. Lukin (DESSERT, 2023)

Coding Improvement in the DAC Algorithm. - Viktor O. Makarichev; Vladimir V. Lukin; Iryna V. Brysina (DESSERT, 2023)

Approaches to Time Delay Estimation for Wideband Signals Embedded in Non-Gaussian Noise Received by Two Sensors. - Viacheslav Oliinyk; Vladimir Lukin 001; Petro Brysin (IntelITSIS, 2023)

Combined Processing of Satellite and UAV Data to Increase the Classification Reliability. - Irina V. Vasilyeva; Vladimir V. Lukin; Vyacheslav Kharchenko; Andriy Nereta (IntelITSIS, 2023)

Blind denoising of dental X-ray images. - Mykola Ponomarenko; Oleksandr Miroshnichenko; Vladimir V. Lukin; Sergey S. Krivenko; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2023)

Image Compression and Protection Systems Based on Atomic Functions. - Viktor O. Makarichev; Vladimir V. Lukin; Vyacheslav S. Kharchenko (Int. J. Comput., 2023)

BPG-Based Lossy Compression of Three-Channel Noisy Images with Prediction of Optimal Operation Existence and Its Parameters. - Bogdan Kovalenko; Vladimir V. Lukin; Benoît Vozel (Remote. Sens., 2023)

Automated Software Tool for Compressing Optical Images with Required Output Quality. - Sergey S. Krivenko; Alexander N. Zemliachenko; Vladimir Lukin 001; Alexander A. Zelensky (CoRR, 2024)

Editorial to Special Issue "Multispectral Image Acquisition, Processing and Analysis - 2nd Edition". - Benoît Vozel; Vladimir Lukin 001; Yakoub Bazi (Remote. Sens., 2024)

Lossy Compression of Single-channel Noisy Images by Modern Coders. - Sergii S. Kryvenko; Vladimir Lukin 001; Benoît Vozel (Remote. Sens., 2024)

BPG-Based Lossy Compression of Three-Channel Remote Sensing Images with Visual Quality Control. - Fangfang Li 003; Oleg Ieremeiev; Vladimir Lukin 001; Karen O. Egiazarian (Remote. Sens., 2024)

Visually Lossless Image Compression: From JPEG to BPG and Vice Versa. - Boban P. Bondzulic; Nenad M. Stojanovic; Vladimir V. Lukin; Sergii S. Kryvenko (IEEE Signal Process. Lett., 2025)