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20152021
most citedOptimising Spatial and Tonal Data for PDE-based Inpainting

18 citations · 20 across the 4 of their papers we have counts for

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eess.IV2021

Efficient Data Optimisation for Harmonic Inpainting with Finite Elements

Vassillen Chizhov, Joachim Weickert

Harmonic inpainting with optimised data is very popular for inpainting-based image compression. We improve this approach in three important aspects. Firstly, we replace the standar…

eess.IV2021

JPEG Meets PDE-based Image Compression

Sarah Andris, Joachim Weickert, Tobias Alt +1

Inpainting-based image compression is emerging as a promising competitor to transform-based compression techniques. Its key idea is to reconstruct image information from only few k…

eess.IV2020

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…

eess.IV2020

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…

eess.IV2020

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…

eess.IV2020

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…