Scale Space and Variational Methods in Computer Vision

Image Denoising and Restoration Targeted Iterative Filtering.- Generalized Gradient on Vector Bundle - Application to Image Denoising.- Expert Regularizers for Task Specific Processing.- A Spectral Approach to Total Variation.- Convex Generalizations of Total Variation Based on the Structure Tensor with Applications to Inverse Problems.- Adaptive Second-Order Total Variation: An Approach Aware of Slope Discontinuities.- Variational Methods for Motion Deblurring with Still Background.- Blind Deblurring Using a Simplified Sharpness Index.- A Cascadic Alternating Krylov Subspace Image Restoration Method.- B-SMART: Bregman-Based First-Order Algorithms for Non-negative Compressed Sensing Problems.- Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems.- Image Enhancement and Texture Synthesis Static and Dynamic Texture Mixing Using Optimal Transport.- A TGV Regularized Wavelet Based Zooming Model.- Anisotropic Third-Order Regularization for Sparse Digital Elevation Models.- A Fast Algorithm for Exact Histogram Specification. Simple Extension to Colour Images.- Constrained Sparse Texture Synthesis.- Outlier Removal Power of the L1-Norm Super-Resolution.- Optical Flow and 3D Reconstruction Why Is the Census Transform Good for Robust Optic Flow Computation?.- Generalised Perspective Shape from Shading in Spherical Coordinates.- Weighted Patch-Based Reconstruction: Linking (Multi-view) Stereo to Scale Space.- Optical Flow on Evolving Surfaces with an Application to the Analysis of 4D Microscopy Data.- Perspective Photometric Stereo with Shadows.- Solving the Uncalibrated Photometric Stereo Problem Using Total Variation.- Minimizing TGV-Based Variational Models with Non-convex Data Terms.- A Mathematically Justified Algorithm for Shape from Texture.- Scale Space and Partial Differential Equations Multi Scale Shape Index for 3D Object Recognition.- Compression of Depth Maps with Segment-Based Homogeneous Diffusion.-Scale Space Operators on Hierarchies of Segmentations.- Discrete Deep Structure.- Image Matching Using Generalized Scale-Space Interest Points.- A Fully Discrete Theory for Linear Osmosis Filtering.- L2-Stable Nonstandard Finite Differences for Anisotropic Diffusion.- Relations between Amoeba Median Algorithms and Curvature-Based PDEs.- Image and Shape Analysis, Segmentation Scale and Edge Detection with Topological Derivatives.- Active Contours for Multi-region Image Segmentation with a Single Level Set Function.- Regularized Discrete Optimal Transport.- Variational Method for Computing Average Images of Biological Organs.- A Hierarchical Approach to Optimal Transport.- Layered Mean Shift Methods.- Partial Optimality via Iterative Pruning for the Potts Model.- Wimmelbild Analysis with Approximate Curvature Coding Distance Images.- Defect Classification on Specular Surfaces Using Wavelets.