Laurent Hoeltgen
Laurent Hoeltgen
Home
Posts
Projects
Publications
Contact
Inpainting
High Quality Image Compression
Oral presentation
2016-05-24
Project
Slides
Efficient Co-domain Quantisation for PDE-based Image Compression
Poster presentation
2016-03-14
PDF
Project
Project
Efficient Co-domain Quantisation for PDE-based Image Compression
Finding optimal data for inpainting is a key problem for image compression with partial differential equations (PDEs). Not only the …
Laurent Hoeltgen
,
Michael Breuß
PDF
Cite
Code
Dataset
Project
Project
Poster
From Optimised Inpainting with Linear PDEs Towards Competitive Image Compression Codecs
For inpainting with linear partial differential equations (PDEs) such as homogeneous or biharmonic diffusion, sophisticated data …
Pascal Peter
,
Sebastian Hoffmann
,
Frank Nedwed
,
Laurent Hoeltgen
,
Joachim Weickert
Cite
Project
DOI
Optimising Spatial and Tonal Data for PDE-based Inpainting
Some recent methods for lossy signal and image compression store only a few selected pixels and fill in the missing structures by …
Laurent Hoeltgen
,
Markus Mainberger
,
Sebastian Hoffmann
,
Joachim Weickert
,
Ching Hoo Tang
,
Simon Setzer
,
Daniel Johannsen
,
Frank Neumann
,
Benjamin Doerr
PDF
Cite
Project
Optimal Interpolation Data for Image Reconstructions
Oral presentation
2015-05-15
Project
Slides
Why does non-binary mask optimisation work for diffusion-based image compression?
Finding optimal data for inpainting is a key problem for image-compression with partial differential equations. Not only the location …
Laurent Hoeltgen
,
Joachim Weickert
Cite
Code
Project
DOI
An Optimal Control Approach to Find Sparse Data for Laplace Interpolation
Oral presentation
2013-08-19
Project
Slides
An Optimal Control Approach to Find Sparse Data for Laplace Interpolation
Finding optimal data for inpainting is a key problem in the context of partial differential equation-based image compression. We …
Laurent Hoeltgen
,
Simon Setzer
,
Joachim Weickert
Cite
Code
Project
DOI
«
Cite
×