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Joachim Weickert

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.IV4
ORCID 0000-0002-8494-0045

identity via Semantic Scholar / OpenAlex

most citedDiffusion-Shock Inpainting

4 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2023★ 2 cited

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…

eess.IV2023★ 4 cited

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…

eess.IV2023★ 2 cited

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…

eess.IV2022

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.