Image Processing Based on Partial Differential Equations: Proceedings of the International Conference on Pde-Based Image Processing and Related Invers Book

From the contents

Part I Digital Image Inpainting, Image Dejittering, and Optical Flow Estimation. Image Inpainting Using a TV-Stokes Equation -Xue-Cheng Tai, Stanley Osher, Randi Holm. Error Analysis for H1 Based Wavelet Interpolations - Tony F. Chan, Hao-Min Zhou, Tie Zhou. Image Dejittering Based on Slicing Moments - Sung Ha Kang, Jianhong (Jackie) Shen. CLG Method for Optical Flow Estimation Based on Gradient Constancy Assumption—Adam Rabcewicz.- Part II Denoising and Total Variation Methods. On Multigrids for Solving a Class of Improved Total Variation Based Staircasing Reduction Models - Joseph Savage, Ke Chen. A Method for Total Variation-based Reconstruction of Noisy and Blurred Images - Qianshun Chang, Weicheng Wang, Jing Xu. Minimization of an Edge-Preserving Regularization Functional by Conjugate Gradient Type Methods - Jian-Feng Cai, Raymond H. Chan, Benedetta Morini. A Newton-type Total Variation Diminishing Flow - Wolfgang Ring. Chromaticity Denoising using Solution to the Skorokhod Problem - Dariusz Borkowski. Improved 3D Reconstruction of Interphase Chromosomes Based on Nonlinear Diffusion Filtering - Jan Hubeny, Pavel Matula, Petr Matula, Michal Kozubek.- Part III Image Segmentation. Application of Non-Convex BV Regularization for Image Segmentation - Klaus Frick, Otmar Scherzer. Region-Based Variational Problems and Normal Alignment -Geometric Interpretation of Descent PDEs - Jan Erik Solem, Niels Chr. Overgaard. Fast PCLSM with Newton Updating Algorithm - Xue-Cheng Tai, Chang-Hui Yao.- Part IV Fast Numerical Methods.