18 citations · 20 across the 4 of their papers we have counts for
7 papers · 1 filter
Sparse Inpainting with Smoothed Particle Hydrodynamics
Viktor Daropoulos, Matthias Augustin, Joachim Weickert
Digital image inpainting refers to techniques used to reconstruct a damaged or incomplete image by exploiting available image information. The main goal of this work is to perform…
Compressing Colour Images with Joint Inpainting and Prediction
Rahul Mohideen Kaja Mohideen, Pascal Peter, Tobias Alt +2
Inpainting-based codecs store sparse, quantised pixel data directly and decode by interpolating the discarded image parts. This interpolation can be used simultaneously for efficie…
A Systematic Evaluation of Coding Strategies for Sparse Binary Images
Rahul Mohideen Kaja Mohideen, Pascal Peter, Joachim Weickert
Inpainting-based compression represents images in terms of a sparse subset of its pixel data. Storing the carefully optimised positions of known data creates a lossless compression…
PDE Evolutions for M-Smoothers in One, Two, and Three Dimensions
Martin Welk, Joachim Weickert
Local M-smoothers are interesting and important signal and image processing techniques with many connections to other methods. In our paper we derive a family of partial differenti…
Compressing Piecewise Smooth Images with the Mumford-Shah Cartoon Model
Ferdinand Jost, Pascal Peter, Joachim Weickert
Compressing piecewise smooth images is important for many data types such as depth maps in 3D videos or optic flow fields for motion compensation. Specialised codecs that rely on e…
Image denoising with less artefacts: Novel non-linear filtering on fast patch reorderings
Kireeti Bodduna, Joachim Weickert
Leading denoising methods such as 3D block matching (BM3D) are patch-based. However, they can suffer from frequency domain artefacts and require to specify explicit noise models. W…