26 citations · 98 across the 24 of their papers we have counts for
43 papers
Connecting Image Inpainting with Denoising in the Homogeneous Diffusion Setting
Daniel Gaa, Vassillen Chizhov, Pascal Peter +2
While local methods for image denoising and inpainting may use similar concepts, their connections have hardly been investigated so far. The goal of this work is to establish links…
Anisotropic Diffusion Stencils: From Simple Derivations over Stability Estimates to ResNet Implementations
Karl Schrader, Joachim Weickert, Michael Krause
Anisotropic diffusion processes with a diffusion tensor are important in image analysis, physics, and engineering. However, their numerical approximation has a strong impact on dis…
Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting
Karl Schrader, Pascal Peter, Niklas Kämper +1
With well-selected data, homogeneous diffusion inpainting can reconstruct images from sparse data with high quality. While 4K colour images of size 3840 x 2160 can already be inpai…
Diffusion-Shock Inpainting
Kristina Schaefer, Joachim Weickert
We propose diffusion-shock (DS) inpainting as a hitherto unexplored integrodifferential equation for filling in missing structures in images. It combines two carefully chosen compo…
Image Blending with Osmosis
Paul Bungert, Pascal Peter, Joachim Weickert
Image blending is an integral part of many multi-image applications such as panorama stitching or remote image acquisition processes. In such scenarios, multiple images are connect…
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…