The Experts below are selected from a list of 108 Experts worldwide ranked by ideXlab platform
Nikolay N Ponomarenko - One of the best experts on this subject based on the ideXlab platform.
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Hybrid sigma filter for processing images corrupted by multiplicative noise
Lecture Notes in Computer Science, 2006Co-Authors: Nikolay N Ponomarenko, Vladimir V Lukin, Karen Egiazarian, Jaakko Astola, Benoit Vozel, Kacem ChehdiAbstract:A standard sigma filter proposed by J.-S. Lee has found wide applications and frequent implementations in software packages. Later, several modifications have been introduced in order to improve its performance. In this paper we propose some new modifications trying to combine advantages of the original sigma and Local Statistic Lee filter as well as to ensure the filter robustness with respect to impulse noise. The basic performance characteristics of the proposed hybrid sigma filter are studied for cases of pure multiplicative noise. The comparison to some other well known filters is performed. A real life example of the designed filter application to side-look radar image is given.
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ACIVS - Hybrid sigma filter for processing images corrupted by multiplicative noise
Advanced Concepts for Intelligent Vision Systems, 2006Co-Authors: Nikolay N Ponomarenko, Vladimir V Lukin, Karen Egiazarian, Jaakko Astola, Benoit Vozel, Kacem ChehdiAbstract:A standard sigma filter proposed by J.-S. Lee has found wide applications and frequent implementations in software packages. Later, several modifications have been introduced in order to improve its performance. In this paper we propose some new modifications trying to combine advantages of the original sigma and Local Statistic Lee filter as well as to ensure the filter robustness with respect to impulse noise. The basic performance characteristics of the proposed hybrid sigma filter are studied for cases of pure multiplicative noise. The comparison to some other well known filters is performed. A real life example of the designed filter application to side-look radar image is given.
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robust lee Local Statistic filter for removal of mixed multiplicative and impulse noise
electronic imaging, 2004Co-Authors: Nikolay N Ponomarenko, Vladimir V Lukin, Karen Egiazarian, Jaakko AstolaAbstract:A robust version of Lee Local Statistic filter able to effectively suppress the mixed multiplicative and impulse noise in images is proposed. The performance of the proposed modification is studied for a set of test images, several values of multiplicative noise variance, Gaussian and Rayleigh probability density functions of speckle, and different characteris-tics of impulse noise. The advantages of the designed filter in comparison to the conventional Lee Local Statistic filter and some other filters able to cope with mixed multiplicative+impulse noise are demonstrated.
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Image Processing: Algorithms and Systems - Robust Lee Local Statistic filter for removal of mixed multiplicative and impulse noise
Image Processing: Algorithms and Systems III, 2004Co-Authors: Nikolay N Ponomarenko, Vladimir V Lukin, Karen Egiazarian, Jaakko AstolaAbstract:A robust version of Lee Local Statistic filter able to effectively suppress the mixed multiplicative and impulse noise in images is proposed. The performance of the proposed modification is studied for a set of test images, several values of multiplicative noise variance, Gaussian and Rayleigh probability density functions of speckle, and different characteris-tics of impulse noise. The advantages of the designed filter in comparison to the conventional Lee Local Statistic filter and some other filters able to cope with mixed multiplicative+impulse noise are demonstrated.
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Two-stage radar image despeckling based on Local Statistic Lee and sigma filtering
Nonlinear Image Processing and Pattern Analysis XII, 2001Co-Authors: Vladimir V Lukin, Nikolay N Ponomarenko, Leonid Yu. Alekseyev, Vladimir P. Melnik, Jaakko AstolaAbstract:The peculiarities of radar images and the problems of their filtering are considered. A two-stage procedure of radar image despeckling based on successive application of the Local Statistic Lee and sigma filters is proposed. The recommendations concerning filter parameter selection are presented. The performance characteristics of the proposed procedure are evaluated for a set of test artificial images. It is shown that the two-stage despeckling can be successfully applied to both images formed by side look aperture radar (SLAR) or synthetic aperture radar (SAR). An available trade-off of filter basic properties is provided. The examples for real data demonstrating the proposed procedure efficiency and benefits are also given.
Jaakko Astola - One of the best experts on this subject based on the ideXlab platform.
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Hybrid sigma filter for processing images corrupted by multiplicative noise
Lecture Notes in Computer Science, 2006Co-Authors: Nikolay N Ponomarenko, Vladimir V Lukin, Karen Egiazarian, Jaakko Astola, Benoit Vozel, Kacem ChehdiAbstract:A standard sigma filter proposed by J.-S. Lee has found wide applications and frequent implementations in software packages. Later, several modifications have been introduced in order to improve its performance. In this paper we propose some new modifications trying to combine advantages of the original sigma and Local Statistic Lee filter as well as to ensure the filter robustness with respect to impulse noise. The basic performance characteristics of the proposed hybrid sigma filter are studied for cases of pure multiplicative noise. The comparison to some other well known filters is performed. A real life example of the designed filter application to side-look radar image is given.
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ACIVS - Hybrid sigma filter for processing images corrupted by multiplicative noise
Advanced Concepts for Intelligent Vision Systems, 2006Co-Authors: Nikolay N Ponomarenko, Vladimir V Lukin, Karen Egiazarian, Jaakko Astola, Benoit Vozel, Kacem ChehdiAbstract:A standard sigma filter proposed by J.-S. Lee has found wide applications and frequent implementations in software packages. Later, several modifications have been introduced in order to improve its performance. In this paper we propose some new modifications trying to combine advantages of the original sigma and Local Statistic Lee filter as well as to ensure the filter robustness with respect to impulse noise. The basic performance characteristics of the proposed hybrid sigma filter are studied for cases of pure multiplicative noise. The comparison to some other well known filters is performed. A real life example of the designed filter application to side-look radar image is given.
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robust lee Local Statistic filter for removal of mixed multiplicative and impulse noise
electronic imaging, 2004Co-Authors: Nikolay N Ponomarenko, Vladimir V Lukin, Karen Egiazarian, Jaakko AstolaAbstract:A robust version of Lee Local Statistic filter able to effectively suppress the mixed multiplicative and impulse noise in images is proposed. The performance of the proposed modification is studied for a set of test images, several values of multiplicative noise variance, Gaussian and Rayleigh probability density functions of speckle, and different characteris-tics of impulse noise. The advantages of the designed filter in comparison to the conventional Lee Local Statistic filter and some other filters able to cope with mixed multiplicative+impulse noise are demonstrated.
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Image Processing: Algorithms and Systems - Robust Lee Local Statistic filter for removal of mixed multiplicative and impulse noise
Image Processing: Algorithms and Systems III, 2004Co-Authors: Nikolay N Ponomarenko, Vladimir V Lukin, Karen Egiazarian, Jaakko AstolaAbstract:A robust version of Lee Local Statistic filter able to effectively suppress the mixed multiplicative and impulse noise in images is proposed. The performance of the proposed modification is studied for a set of test images, several values of multiplicative noise variance, Gaussian and Rayleigh probability density functions of speckle, and different characteris-tics of impulse noise. The advantages of the designed filter in comparison to the conventional Lee Local Statistic filter and some other filters able to cope with mixed multiplicative+impulse noise are demonstrated.
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Two-stage radar image despeckling based on Local Statistic Lee and sigma filtering
Nonlinear Image Processing and Pattern Analysis XII, 2001Co-Authors: Vladimir V Lukin, Nikolay N Ponomarenko, Leonid Yu. Alekseyev, Vladimir P. Melnik, Jaakko AstolaAbstract:The peculiarities of radar images and the problems of their filtering are considered. A two-stage procedure of radar image despeckling based on successive application of the Local Statistic Lee and sigma filters is proposed. The recommendations concerning filter parameter selection are presented. The performance characteristics of the proposed procedure are evaluated for a set of test artificial images. It is shown that the two-stage despeckling can be successfully applied to both images formed by side look aperture radar (SLAR) or synthetic aperture radar (SAR). An available trade-off of filter basic properties is provided. The examples for real data demonstrating the proposed procedure efficiency and benefits are also given.
Theodore Papadopoulo - One of the best experts on this subject based on the ideXlab platform.
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Local Statistic based region segmentation with automatic scale selection
European Conference on Computer Vision, 2008Co-Authors: Jerome Piovano, Theodore PapadopouloAbstract:Recently, new segmentation models based on Local information have emerged. They combine Local Statistics of the regions along the contour (inside and outside) to drive the segmentation procedure. Since they are based on Local decisions, these models are more robust to Local variations of the regions of interest (contrast, noise, blur, ...). They nonetheless also introduce some new difficulties which are inherent to the fact of basing a global property (the segmentation) on pure Local decisions. This papers explores some of those difficulties and proposes some possible corrections. Results on both 2D and 3D data are compared to those obtained without these corrections.
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ECCV (2) - Local Statistic Based Region Segmentation with Automatic Scale Selection
Lecture Notes in Computer Science, 2008Co-Authors: Jerome Piovano, Theodore PapadopouloAbstract:Recently, new segmentation models based on Local information have emerged. They combine Local Statistics of the regions along the contour (inside and outside) to drive the segmentation procedure. Since they are based on Local decisions, these models are more robust to Local variations of the regions of interest (contrast, noise, blur, ...). They nonetheless also introduce some new difficulties which are inherent to the fact of basing a global property (the segmentation) on pure Local decisions. This papers explores some of those difficulties and proposes some possible corrections. Results on both 2D and 3D data are compared to those obtained without these corrections.
Vladimir V Lukin - One of the best experts on this subject based on the ideXlab platform.
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Hybrid sigma filter for processing images corrupted by multiplicative noise
Lecture Notes in Computer Science, 2006Co-Authors: Nikolay N Ponomarenko, Vladimir V Lukin, Karen Egiazarian, Jaakko Astola, Benoit Vozel, Kacem ChehdiAbstract:A standard sigma filter proposed by J.-S. Lee has found wide applications and frequent implementations in software packages. Later, several modifications have been introduced in order to improve its performance. In this paper we propose some new modifications trying to combine advantages of the original sigma and Local Statistic Lee filter as well as to ensure the filter robustness with respect to impulse noise. The basic performance characteristics of the proposed hybrid sigma filter are studied for cases of pure multiplicative noise. The comparison to some other well known filters is performed. A real life example of the designed filter application to side-look radar image is given.
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ACIVS - Hybrid sigma filter for processing images corrupted by multiplicative noise
Advanced Concepts for Intelligent Vision Systems, 2006Co-Authors: Nikolay N Ponomarenko, Vladimir V Lukin, Karen Egiazarian, Jaakko Astola, Benoit Vozel, Kacem ChehdiAbstract:A standard sigma filter proposed by J.-S. Lee has found wide applications and frequent implementations in software packages. Later, several modifications have been introduced in order to improve its performance. In this paper we propose some new modifications trying to combine advantages of the original sigma and Local Statistic Lee filter as well as to ensure the filter robustness with respect to impulse noise. The basic performance characteristics of the proposed hybrid sigma filter are studied for cases of pure multiplicative noise. The comparison to some other well known filters is performed. A real life example of the designed filter application to side-look radar image is given.
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robust lee Local Statistic filter for removal of mixed multiplicative and impulse noise
electronic imaging, 2004Co-Authors: Nikolay N Ponomarenko, Vladimir V Lukin, Karen Egiazarian, Jaakko AstolaAbstract:A robust version of Lee Local Statistic filter able to effectively suppress the mixed multiplicative and impulse noise in images is proposed. The performance of the proposed modification is studied for a set of test images, several values of multiplicative noise variance, Gaussian and Rayleigh probability density functions of speckle, and different characteris-tics of impulse noise. The advantages of the designed filter in comparison to the conventional Lee Local Statistic filter and some other filters able to cope with mixed multiplicative+impulse noise are demonstrated.
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Image Processing: Algorithms and Systems - Robust Lee Local Statistic filter for removal of mixed multiplicative and impulse noise
Image Processing: Algorithms and Systems III, 2004Co-Authors: Nikolay N Ponomarenko, Vladimir V Lukin, Karen Egiazarian, Jaakko AstolaAbstract:A robust version of Lee Local Statistic filter able to effectively suppress the mixed multiplicative and impulse noise in images is proposed. The performance of the proposed modification is studied for a set of test images, several values of multiplicative noise variance, Gaussian and Rayleigh probability density functions of speckle, and different characteris-tics of impulse noise. The advantages of the designed filter in comparison to the conventional Lee Local Statistic filter and some other filters able to cope with mixed multiplicative+impulse noise are demonstrated.
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Two-stage radar image despeckling based on Local Statistic Lee and sigma filtering
Nonlinear Image Processing and Pattern Analysis XII, 2001Co-Authors: Vladimir V Lukin, Nikolay N Ponomarenko, Leonid Yu. Alekseyev, Vladimir P. Melnik, Jaakko AstolaAbstract:The peculiarities of radar images and the problems of their filtering are considered. A two-stage procedure of radar image despeckling based on successive application of the Local Statistic Lee and sigma filters is proposed. The recommendations concerning filter parameter selection are presented. The performance characteristics of the proposed procedure are evaluated for a set of test artificial images. It is shown that the two-stage despeckling can be successfully applied to both images formed by side look aperture radar (SLAR) or synthetic aperture radar (SAR). An available trade-off of filter basic properties is provided. The examples for real data demonstrating the proposed procedure efficiency and benefits are also given.
Kacem Chehdi - One of the best experts on this subject based on the ideXlab platform.
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Hybrid sigma filter for processing images corrupted by multiplicative noise
Lecture Notes in Computer Science, 2006Co-Authors: Nikolay N Ponomarenko, Vladimir V Lukin, Karen Egiazarian, Jaakko Astola, Benoit Vozel, Kacem ChehdiAbstract:A standard sigma filter proposed by J.-S. Lee has found wide applications and frequent implementations in software packages. Later, several modifications have been introduced in order to improve its performance. In this paper we propose some new modifications trying to combine advantages of the original sigma and Local Statistic Lee filter as well as to ensure the filter robustness with respect to impulse noise. The basic performance characteristics of the proposed hybrid sigma filter are studied for cases of pure multiplicative noise. The comparison to some other well known filters is performed. A real life example of the designed filter application to side-look radar image is given.
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ACIVS - Hybrid sigma filter for processing images corrupted by multiplicative noise
Advanced Concepts for Intelligent Vision Systems, 2006Co-Authors: Nikolay N Ponomarenko, Vladimir V Lukin, Karen Egiazarian, Jaakko Astola, Benoit Vozel, Kacem ChehdiAbstract:A standard sigma filter proposed by J.-S. Lee has found wide applications and frequent implementations in software packages. Later, several modifications have been introduced in order to improve its performance. In this paper we propose some new modifications trying to combine advantages of the original sigma and Local Statistic Lee filter as well as to ensure the filter robustness with respect to impulse noise. The basic performance characteristics of the proposed hybrid sigma filter are studied for cases of pure multiplicative noise. The comparison to some other well known filters is performed. A real life example of the designed filter application to side-look radar image is given.
