... Крылов А.С. Лукин А.С. Насонов А.В. Юрин Д.В. Сорокин Д.В. Ятченко А.М. Сотрудники (МФ) . ... Дмитрий Владимирович Юрин . ... Локальная оценка уровня шума на цифровых изображениях // в: Труды 16-й международной конференции Цифровая обработка сигналов и ее применение (DSPA'2014) , т. 2. ... N. Mamaev , A. Lukin , D. Yurin . HeNLM-3D: A 3D Computer Tomography Image Denoising Algorithm // In: The 12th International Conference on Pattern Recognition and Information Processing . ... PDF . ...
... Laboratory of Mathematical Methods of Image Processing . ... Krylov A.S. Lukin A.S. Nasonov A.V. Yurin D.V. Sorokin D.V. Yatchenko A.M. Staff (MPh chair) . ... А. С. Лукин , Н. В. Мамаев , Д. В. Юрин . Локальная оценка уровня шума на цифровых изображениях // в: Труды 16-й международной конференции Цифровая обработка сигналов и ее применение (DSPA'2014) , т. 2. ... PDF . ... Image Processing Algorithms Integration System // In: MEDIAS-Dialog The International Scientific Conference Proceedings . ...
... Laboratory of Mathematical Methods of Image Processing . ... Krylov A.S. Lukin A.S. Nasonov A.V. Yurin D.V. Sorokin D.V. Yatchenko A.M. Staff (MPh chair) . ... HeNLM-3D: A 3D Computer Tomography Image Denoising Algorithm // In: The 12th International Conference on Pattern Recognition and Information Processing . ... PDF . ... PDF_(draft,en) . ... Post-Processing by Total Variation Quasi-Solution Method for Image Interpolation // In: 17-th International Conference on Computer Graphics GraphiCon'2007 ...
. Главная . Люди . Исследования . Публикации . Деятельность . Лаборатория математических методов обработки изображений . Кафедра математической физики . факультета Вычислительной математики и кибернетики . МГУ имени М.В.Ломоносова . Главная . Люди . Исследования . Публикации . Деятельность . Адрес: МГУ имени М.В.Ломоносова . Факультет Вычислительной математики и кибернетики . Ленинские горы, 2-й учебный корпус, ауд. 539 . 119991, Россия, Москва . Телефон: +7 (495) 939 11 29 . Email: .
... Activities . ... Laboratory of Mathematical Methods of Image Processing . Chair of Mathematical Physics . Faculty of Computational Mathematics and Cybernetics . Lomonosov Moscow State University . ... Address: Moscow Lomonosov State University . ... Moscow 119991 Russia . ...
... Software . Laboratory of Mathematical Methods of Image Processing . ... Available options: -sigma - (mandatory) set blur parameter for the input image , range: 1.0 to 20.0 - power - set warping power , range: 0.0 to 5.0, default value is 1.0 -1d - apply one-dimensional algorithm (faster but lower quality) basicedges - detect basic edges - edges good for artifact analysis -scale - set scale parameter, range: 1.0 to 20.0, default value is 4.0 gaussblur - blur input ... warp.png . ...
... Лаборатория математических методов обработки изображений . ... 29.03.2016 Встреча со студентами 2 курса в рамках презентации спецсеминара Обработка изображений и компьютерное моделирование пройдет 5 апреля в 16:20 в ауд. ... 3 курс четверг, 14:35 . 4 курс среда, 14:00 . ... Grid warping for image sharpening using one-dimensional approach (Andrey Krylov, Alexandra Nasonova, Andrey Nasonov) . Sparse Method for Ringing Artifact Detection (Alexey Umnov, Andrey Nasonov, Andrey Krylov, Ding Yong) . ...
FINDING AREAS OF TYPICAL ARTIFACTS OF IMAGE ENHANCEMENT METHODS A.V. Nasonov, A.S. Krylov Laboratory of Mathematical Methods of Image Processing, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, 119991, Russia, Moscow, Leninskie gory, (495) 939-11-29, nasonov@cs.msu.ru, kryl@cs.msu.ru * The paper presents a new method to find areas related to typical artifacts of image enhancements methods. Two artifacts are analyzed: edge blur and overshooting effect. ...
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Ссылки http://imaging.cs.msu.su/pub/2011.PRIA.Nasonov_Krylov.Areas.en.pdf -- 129.0 Кб -- 20.11.2015 Похожие документы
EDGE QUALITY METRICS FOR IMAGE ENHANCEMENT* A.V. Nasonov, A.S. Krylov Laboratory of Mathematical Methods of Image Processing, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, 119991, Russia, Moscow, Leninskie Gory, nasonov@cs.msu.ru, kryl@cs.msu.ru The paper presents a new adaptive full reference method for quality measurement of image enhancement algorithms. ... Keywords: image metrics, image enhancement, edges, blur, ringing artifact. ... Edge displacement. ...
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Ссылки http://imaging.cs.msu.su/pub/2012.PRIA.Nasonov_Krylov.EdgeMetrics.en.pdf -- 704.3 Кб -- 20.11.2015 Похожие документы
... The ringing detection method is based on finding the area where ringing effect is likely to appear and calculating the ratio of average edge-normal and edgetangential derivatives moduli in this area. ... In this work, we consider the problem of ringing effect detection and reduction in MRI images. ... After applying inverse Fourier transform, the frequency truncated data results in image with limited resolution and ringing effect near sharp edges. ... Edge width estimation. ... Basic edges detection...
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Ссылки http://imaging.cs.msu.su/pub/2013.PRIA.Yatchenko_Krylov_Nasonov.RingingMRI.en.pdf -- 306.5 Кб -- 20.11.2015 Похожие документы
Ringing Artifact Suppression using Sparse Representation Alexey V. Umnov, Andrey S. Krylov, and Andrey V. Nasonov Laboratory of Mathematical Methods of Image Processing, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University kryl@cs.msu.ru Abstract. ... The proposed method preserves more small image details than the stateof-the-art algorithms based on total variation minimization, and outperforms them in terms of image quality metrics. ...
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Ссылки http://imaging.cs.msu.su/pub/2015.ACIVS.Umnov_Krylov_Nasonov.SparseDeringing.en.pdf -- 365.4 Кб -- 25.08.2015 Похожие документы
Image warping as an image enhancement post-processing tool Andrey Krylov, Alexandra Nasonova, Andrey Nasonov Abstract A method to improve the results of image enhancement is proposed. The method is based on pixel grid warping, the main idea is moving pixels in the direction of the nearest image edges. ... In this work we present a new post-processing algorithm for image deblurring with enhancement of edge sharpness. ... The result of image warping is highly dependent on the input edges. ...
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Ссылки http://imaging.cs.msu.su/pub/2015.OGRW.Krylov_Nasonova_Nasonov.Warping.en.pdf -- 1074.8 Кб -- 03.10.2014 Похожие документы
GRID WARPING FOR IMAGE SHARPENING USING ONE-DIMENSIONAL APPROACH Andrey Krylov, Alexandra Nasonova and Andrey Nasonov Laboratory of Mathematical Methods of Image Processing Faculty of Computational Mathematics and Cybernetics Lomonosov Moscow State University Email: kryl@cs.msu.ru ABSTRACT A new method for image sharpening via image warping is proposed. ... The aim of the proposed method is to transform edge points coordinates in such a way that the slope of the edge becomes steeper (see Fig. ...
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Ссылки http://imaging.cs.msu.su/pub/2014.ICSP.Krylov_Nasonov.Warping1D.en.pdf -- 666.1 Кб -- 13.08.2014 Похожие документы
... 20- -2010, .-, 2024 2010 . ... 2 sin(n - 2k ) , n! n <kn 2 : : l l p n-m,m p m,n-m () () = p n-m,m p m,n-m = l cos(n - 2m) sin(n - 2m) · - sin(n - 2m) cos(n - 2m) l . ... Proenca H. Iris recognition: On the segmentation of degraded images acquired in the visible wavelength // IEEE Transaction on Pattern Analysis and Machine Intelligence, 2010. Vol. ... Hollingsworth K., Bowyer K., Flynn P. The best bits in an iris code // IEEE Transaction on Pattern Analysis and Machine Intelligence, 2009. ...
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Ссылки http://imaging.cs.msu.su/pub/2011.IIP.Pavelyeva_Krylov.Iris.ru.pdf -- 396.1 Кб -- 11.08.2014 Похожие документы