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|a Vese, Luminita A.,
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|a Variational methods in image processing /
|c Luminita A. Vese, Carole Le Guyader.
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|a Boca Raton, FL :
|b CRC Press,
|c [2016]
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|a Chapman & Hall/CRC mathematical and computational imaging sciences
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|a Online resource; title from title page (Safari, viewed December 14, 2015).
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|a Includes bibliographical references (pages 353-379).
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|a Chapter 1 Introduction and Book Overview -- chapter 2 Mathematical Background -- chapter 3 Variational Image Restoration Models -- chapter 4 Nonlocal Variational Methods in Image Restoration -- chapter 5 Image Decomposition into Cartoon and Texture -- chapter 6 Mumford and Shah Functional for Image Segmentation -- chapter 7 Phase-Field Approximations to Mumford and Shah Problem -- chapter 8 Region-Based Variational Active Contours -- chapter 9 Edge-Based Variational Snakes and Active Contours -- chapter 10 Nonlocal Mumford-Shah and Ambrosio-Tortorelli Variational Models for Color Image Restoration -- chapter 11 A Combined Segmentation and Registration Variational Model -- chapter 12 Variational Image Registration Models -- chapter 13 Piecewise-Constant Binary Model for Electrical Impedance Tomography -- chapter 14 Additive and Multiplicative Piecewise-Smooth Segmentation Models in a Functional Minimization Approach -- chapter 15 Numerical Methods for p-Harmonic Flows and Applications to Image Processing.
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|a Variational Methods in Image Processing presents the principles, techniques, and applications of variational image processing. The text focuses on variational models, their corresponding Euler-Lagrange equations, and numerical implementations for image processing. It balances traditional computational models with more modern techniques that solve the latest challenges introduced by new image acquisition devices.
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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|a Image processing
|x Digital techniques.
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|a Traitement d'images
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|a Chapman & Hall/CRC mathematical and computational imaging sciences.
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