26 citations · 98 across the 24 of their papers we have counts for
4 papers · 1 filter
Optimising Different Feature Types for Inpainting-based Image Representations
Ferdinand Jost, Vassillen Chizhov, Joachim Weickert
Inpainting-based image compression is a promising alternative to classical transform-based lossy codecs. Typically it stores a carefully selected subset of all pixel locations and…
Deep Spatial and Tonal Data Optimisation for Homogeneous Diffusion Inpainting
Pascal Peter, Karl Schrader, Tobias Alt +1
Diffusion-based inpainting can reconstruct missing image areas with high quality from sparse data, provided that their location and their values are well optimised. This is particu…
Stabilised Inverse Flowline Evolution for Anisotropic Image Sharpening
Kristina Schaefer, Joachim Weickert
The central limit theorem suggests Gaussian convolution as a generic blur model for images. Since Gaussian convolution is equivalent to homogeneous diffusion filtering, one way to…
CNN-based Euler's Elastica Inpainting with Deep Energy and Deep Image Prior
Karl Schrader, Tobias Alt, Joachim Weickert +1
Euler's elastica constitute an appealing variational image inpainting model. It minimises an energy that involves the total variation as well as the level line curvature. These com…