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801. http://imaging.cs.msu.su/pub/2012.Graphicon.Pavelyeva.Iris.ru.pdf
... POC, , . ... HPPOC- k=3, , . ... Fast Hermite Projection Method, LNCS, v.4141, p.329-338, 2006. ... Hermite Projection Phase-Only Correlation Method in Iris Key Points Abstract . ... The Hermite projection phase-only correlation method in iris key points has been proposed. ... The Hermite projection phase-only correlation of areas around taken key points is calculated for key points matching. ... Keywords: iris recognition, phase only correlation, Hermite functions, key points, biometrics. ...
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Ссылки http://imaging.cs.msu.su/pub/2012.Graphicon.Pavelyeva.Iris.ru.pdf -- 918.2 Кб -- 11.08.2014
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802. http://imaging.cs.msu.su/pub/2014.ICIAR.Nasonova_Krylov.Warping.en.pdf
Image warping in dermatological image hair removal Alexandra Nasonova1 , Andrey Nasonov1 , Andrey Krylov1 , Ivan Pechenko1 , Alexey Umnov1 , Natalia Makhneva2 Laboratory of Mathematical Methods of Image Processing, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University 2 Moscow Scientific and Practical Center of Dermatology and Venereology and Cosmetology of Moscow Healthcare Department kryl@cs.msu.ru 1 Abstract. ... For an unwarped image p(x) 1. ... Imaging pp. ...
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Ссылки http://imaging.cs.msu.su/pub/2014.ICIAR.Nasonova_Krylov.Warping.en.pdf -- 1062.4 Кб -- 07.07.2014
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803. http://imaging.cs.msu.su/pub/2014.ICIP.Nasonov_Krylov.TVWarping.en.pdf
GRID WARPING IN TOTAL VARIATION IMAGE ENHANCEMENT METHODS Andrey Nasonov, and Andrey Krylov Lomonosov Moscow State University, Moscow, Department of Computational Mathematics and Cybernetics, e-mail: nasonov@cs.msu.ru, kryl@cs.msu.ru ABSTRACT An approach of including warping algorithms into total variation image enhancement methods is suggested. ... Index Terms-- Image grid warping, total variation, image enhancement 1. ... Interpolate the image from the warped grid to the old uniform grid. ...
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Ссылки http://imaging.cs.msu.su/pub/2014.ICIP.Nasonov_Krylov.TVWarping.en.pdf -- 1913.9 Кб -- 10.06.2014
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804. http://imaging.cs.msu.su/pub/2014.DSPA.Nasonova.IntWarping.ru.pdf
... M. Almeida and M. Figueiredo, Parameter estimatio n for blind and nonblind deblurring using residual whiteness measures, IEEE Trans. Image Processing, vol. 22, pp. 2751 2763, 2013. ... Nonlinear camera response functions and image deblurring: Theoretical analysis and practice, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 35, pp. ... A. V. Nasonov and A. S. Krylov, Edge quality metrics for image enhancement, Pattern Recognition and Image Analysis, vol. 22, pp. ...
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Ссылки http://imaging.cs.msu.su/pub/2014.DSPA.Nasonova.IntWarping.ru.pdf -- 449.9 Кб -- 27.03.2014
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805. http://imaging.cs.msu.su/pub/2012.CISP-BMEI.Chernomorets_Krylov.RetinalQ.en.pdf
Blur detection in fundus images Alexandra A. Chernomorets and Andrey S. Krylov Laboratory of Mathematical Methods of Image Processing Faculty of Computational Mathematics and Cybernetics Lomonosov Moscow State University Abstract--The paper addresses the problem of retinal image quality assessment. ... The blur value is obtained using an analysis of blood vessel edge widths. ... Blur value estimated 1.09 Blur value estimation for real fundus images. ... Blur value estimation for DRIVE image 01 test. ...
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Ссылки http://imaging.cs.msu.su/pub/2012.CISP-BMEI.Chernomorets_Krylov.RetinalQ.en.pdf -- 1693.4 Кб -- 20.09.2012
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806. http://imaging.cs.msu.su/pub/2012.CISP-BMEI.Nasonov_Krylov.TextSR.en.pdf
Text images superresolution and enhancement Andrey V. Nasonov and Andrey S. Krylov Laboratory of Mathematical Methods of Image Processing Faculty of Computational Mathematics and Cybernetics Lomonosov Moscow State University Abstract--Two problems of text images enhancement are considered in the paper: superresolution and deringing. ... Regularization method with bilateral total variation stabilizer and bimodal penalty function are used to perform the superresolution. ... We used r = 2 and R = 6. ...
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Ссылки http://imaging.cs.msu.su/pub/2012.CISP-BMEI.Nasonov_Krylov.TextSR.en.pdf -- 311.0 Кб -- 12.07.2012
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807. http://imaging.cs.msu.su/pub/2011.OGRW.Yatchenko_Krylov_Nasonov.RingingMRI.en.pdf
MRI MEDICAL IMAGE RINGING DETECTION AND SUPPRESSION Artem M. Yatchenko, Andrey S. Krylov, Andrey V. Nasonov 2 2 1 Lomonosov Moscow State University, kryl@cs.msu.ru A no-reference method to detect and suppress ringing effect in MRI images is suggested. 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. ... Finding basic edges area. ...
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Ссылки http://imaging.cs.msu.su/pub/2011.OGRW.Yatchenko_Krylov_Nasonov.RingingMRI.en.pdf -- 394.1 Кб -- 09.01.2012
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808. http://imaging.cs.msu.su/pub/2011.VCIP.Krylov_Sorokin.KeyP.en.pdf
Gauss-Laguerre Keypoints Descriptors for Color Images Andrey S. Krylov and Dmitry V. Sorokin Laboratory of Mathematical Methods of Image Processing, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, http://imaging.cs.msu.ru Email: {kryl, dsorokin}@cs.msu.ru Abstract--Keypoints descriptors construction algorithm for color images is introduced. ... V. C ONCLUSION Keypoints descriptors construction algorithm for color images was introduced. ...
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Ссылки http://imaging.cs.msu.su/pub/2011.VCIP.Krylov_Sorokin.KeyP.en.pdf -- 140.9 Кб -- 17.11.2011
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809. http://imaging.cs.msu.su/pub/2011.orgw.Storozhilova_Yurin.FastRank.pdf
FAST RANK ALGORITHMS WITH MULTISCALE HISTOGRAMS LAZY UPDATING1 M. Storozhilova2, D. Yurin 2,3 3 Laboratory of Mathematical Methods of Image Processing Faculty of Computational Mathematics and Cybernetics Lomonosov Moscow State University Leninskie Gory, Moscow 119991, Russia. mariastorozhilova@gmail.com2, yurin@cs.msu.su3 Rank algorithms propose good solutions for image smoothing and impulse noise removing. ... The main idea of our lazy algorithm is based on histogram updating approach from [2]. ...
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Ссылки http://imaging.cs.msu.su/pub/2011.orgw.Storozhilova_Yurin.FastRank.pdf -- 211.6 Кб -- 21.10.2011
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810. http://imaging.cs.msu.su/pub/2011.Graphicon.Chernomorets_Krylov_Nasonov_Semashko.Retina.en.pdf
... Methods for non-uniform illumination correction, blood vessel detection and macula and optic disc segmentation, finding dark and light spots in the macula area are suggested. ... CONCLUSION The proposed in the paper algorithms for non-uniform illumination correction, blood vessel detection, macula and optic disc segmentation in retinal images, finding light and dark spots in the macula area compose the basis of the telemedicine system of retinal image analysis developed by the authors group. ...
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Ссылки http://imaging.cs.msu.su/pub/2011.Graphicon.Chernomorets_Krylov_Nasonov_Semashko.Retina.en.pdf -- 980.8 Кб -- 22.08.2011
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811. http://imaging.cs.msu.su/pub/2011.Graphicon.Lebedev_Ignatenko.Light.en.pdf
Compression of light transport matrix Andrey Lebedev, Ivan Karpuhin, Andrey Il yin, Alexey Ignatenko Department of Computational Mathematics and Cybernetics Moscow State University, Moscow, Russia {alebedev, ikarpuhin, ailyin, ignatenko}@graphics.cs.msu.ru Abstract We address the problem of relighting of three-dimensional scenes and propose a new method based on reconstruction of light transport matrix. ... Algorithm 2. ... In [ 8] light transport matrix for diffuse scene was compressed 4000 times. ...
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Ссылки http://imaging.cs.msu.su/pub/2011.Graphicon.Lebedev_Ignatenko.Light.en.pdf -- 203.3 Кб -- 22.08.2011
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812. http://imaging.cs.msu.su/pub/2011.Graphicon.Samsonov_Ignatenko.CameraCalibration.en.pdf
Algorithms for calculating parameters of virtual scenes in computer vision tasks Pavel Samsonov, Andrey Ilyin, Aleksey Ignatenko Department of Computational Mathematics and Cybernetics Moscow State University, Moscow, Russia psamsonov@graphics.cs.msu.ru, ailyin@graphics.cs.msu.ru, aignatenko@graphics.cs.msu.ru Abstract In this paper we describe methods for deter mining the parameters of the camera and the light spot, which due to its properties is similar to a point light. ...
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Ссылки http://imaging.cs.msu.su/pub/2011.Graphicon.Samsonov_Ignatenko.CameraCalibration.en.pdf -- 517.6 Кб -- 22.08.2011
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813. http://imaging.cs.msu.su/pub/2011.Graphicon.Zipa_Ignatenko.MetallicCoating.en.pdf
... INTRODUCTION Rendering of the photorealistic images of three-dimensional scenes remains a significant problem in computer graphics nowadays. ... When rendering, texture is represented by a bitmap image imposed on the surface of the 3Dmodel to give it color or the illusion of relief. ... Figure 2: Vectors in proposed model. ... 4.2 Determining of Model The input to the algorithm receives N images of a plane surface with a metallic and a synthesized image with the glare and texture without metallic. ...
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Ссылки http://imaging.cs.msu.su/pub/2011.Graphicon.Zipa_Ignatenko.MetallicCoating.en.pdf -- 753.2 Кб -- 22.08.2011
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814. http://imaging.cs.msu.su/pub/2011.Graphicon.Nasonov_Krylov.Metrics.en.pdf
Image enhancement quality metrics Andrey Nasonov, Andrey Krylov Laboratory of Mathematics Methods of Image Processing Department of Computational Mathematics and Cybernetics Moscow State University, Moscow, Russia {nasonov, kryl}@cs.msu.ru Abstract The paper presents a new adaptive full reference metrics for the quality measurement of image enhancement algorithms. ... Two types of artifacts are considered: blur and ringing effect. ... BASIC EDGES Blur and ringing effect appears near sharp edges. ...
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Ссылки http://imaging.cs.msu.su/pub/2011.Graphicon.Nasonov_Krylov.Metrics.en.pdf -- 1731.0 Кб -- 22.08.2011
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815. http://imaging.cs.msu.su/pub/2011.Graphicon.Pavelyeva_Krylov.Iris.ru.pdf
... POC-) [2]: POC fg ( x, y ) 1 MN M N u 0 v 0 R FG (u, v )e i 2ux M e i 2vy N . ... POC, PhaseOnly Correlation) [2] "" . ... Re F POC- RFG (u , v) , n ( x) 1 2 n! n e x 2 / 2 H n ( x) , ( x). ... RFG (u,v) , R FG m, n ( x, y ) m ( x) n ( y). ( x, y ), m, n 0, (u , v) , ij ( x, y ), i 0, m, j 0, n , POC-, HPPOC- (Hermite Projection Phase-Only Correlation): m,n L2 ( R 2 ) . ... High Accuracy Estimation of Image Rotation using 1D Phase-Only Correlation, IEICE Trans.Fund. v. E92-A, p. 235-243, 2009. ...
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Ссылки http://imaging.cs.msu.su/pub/2011.Graphicon.Pavelyeva_Krylov.Iris.ru.pdf -- 974.3 Кб -- 22.08.2011
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816. http://imaging.cs.msu.su/pub/2011.Book.Krylov_Nasonov.Resampling.ru.pdf
УНИВЕРСИТЕТ имени М. В. ЛОМОНОСОВА Факультет вычислительной математики и кибернетики А.С. Крылов, А.В. Насонов КОМПЬЮТЕРНОЕ ПОВЫШЕНИЕ РАЗРЕШЕНИЯ ИЗОБРАЖЕНИЙ С ИСПОЛЬЗОВАНИЕМ МЕТОДОВ МАТЕМАТИЧЕСКОЙ ФИЗИКИ Учебное пособие Москва 2011 УДК 517.6 ББК 22.193 М18 Печатается по решению Редакционно-издательского совета ... н т ы: Разгулин А.В., профессор, Баяковский Ю.М., доцент, Крылов А.С., Насонов А.В. д.ф.-м.н. к.ф.-м.н. Компьютерное повышение разрешения ... 62 62 63 66 Метод условного градиента . ...
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Ссылки http://imaging.cs.msu.su/pub/2011.Book.Krylov_Nasonov.Resampling.ru.pdf -- 1079.3 Кб -- 19.08.2011
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817. http://imaging.cs.msu.su/pub/2011.ITSF.Krylov_Mizotin.Laguerre.en.pdf
Pro jection Method for the Hankel Transform Andrey S. Krylov Maxim M. Mizotin 11 2011 . Numerical pro jection method for the zero-order Hankel transform inversion for the case of the data given on a finite interval has been developed. ... First, the inversion of the Hankel transform on a finite interval is an ill-posed problem. ... 5 The Sine-Fourier transform The pro jection method for the inversion of the sine-Fourier transform (5) with the data given on a finite interval was developed in [11]. ...
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Ссылки http://imaging.cs.msu.su/pub/2011.ITSF.Krylov_Mizotin.Laguerre.en.pdf -- 285.2 Кб -- 04.07.2011
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818. http://imaging.cs.msu.su/pub/2011.ICIAP.Krylov_Nasonov.EdgeDirected.en.pdf
Edge-directed Image Interp olation Using Color Gradient Information Andrey Krylov and Andrey Nasonov Laboratory of Mathematical Methods of Image Processing, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, 119991, Leninskie gory, Moscow, Russia {kryl, nasonov}@cs.msu.ru http://imaging.cs.msu.ru/ Abstract. ... Color basic edge points metric was suggested and used to show the effectiveness of the proposed image interpolation method. ... Gray lines are image edges. ...
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Ссылки http://imaging.cs.msu.su/pub/2011.ICIAP.Krylov_Nasonov.EdgeDirected.en.pdf -- 2355.4 Кб -- 02.06.2011
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819. http://imaging.cs.msu.su/pub/2011.ICIAR.Sorokin_Mizotin_Krylov.GaussLaguerreKeypoints.en.pdf
Gauss-Laguerre Keyp oints Extraction Using Fast Hermite Pro jection Metho d Dmitry V. Sorokin, Maxim M. Mizotin, and Andrey S. Krylov Laboratory of Mathematical Methods of Image Processing, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Moscow, Russia {dsorokin, mizotin, kryl}@cs.msu.ru http://imaging.cs.msu.ru Abstract. ... Gauss-Laguerre Keypoints Extraction using Fast Hermite Pro jection Method 9 In Fig. 4 the results for boat1-boat2 image pair are given. ...
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Ссылки http://imaging.cs.msu.su/pub/2011.ICIAR.Sorokin_Mizotin_Krylov.GaussLaguerreKeypoints.en.pdf -- 195.0 Кб -- 18.05.2011
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820. http://imaging.cs.msu.su/pub/2011.DSPA.Lubimov_Mikheev_Lukin.Clustering.en.pdf
COMPARISON OF CLUSTERING ALGORITHMS FOR SPEAKER IDENTIFICATION Nikolay Lubimov, Evgeny Mikheev, Alexey Lukin Moscow Lomonosov State University, Moscow, Russia In this paper we consider the problem of text-independent speaker identification that refers to acoustic recognition research. ... We have performed the comparison of different clustering methods for speaker identification: the standard K-means clustering, K-means++, Linde-Buzo-Gray, Fuzzy C-means, and Gustafson-Kessel algorithms. ...
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Ссылки http://imaging.cs.msu.su/pub/2011.DSPA.Lubimov_Mikheev_Lukin.Clustering.en.pdf -- 12.8 Кб -- 04.04.2011
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