3 citations · 3 across the 5 of their papers we have counts for
5 papers
An Adaptive Finite Difference Method for Total Variation Minimization
Thomas Jacumin, Andreas Langer
In this paper, we propose an adaptive finite difference scheme in order to numerically solve total variation type problems for image processing tasks. The automatic generation of t…
Adjoint Method in PDE-based Image Compression
Zakaria Belhachmi, Thomas Jacumin
We consider a shape optimization based method for finding the best interpolation data in the compression of images with noise. The aim is to reconstruct missing regions by means of…
Iterative Approach to Image Compression with Noise : Optimizing Spatial and Tonal Data
Zakaria Belhachmi, Thomas Jacumin
We consider some iterative methods for finding the best interpolation data in the images compression with noise. The interpolation data consists of the set of pixels and their grey…
Optimal Interpolation Data for PDE-based Compression of Images with Noise
Zakaria Belhachmi, Thomas Jacumin
We introduce and discuss shape-based models for finding the best interpolation data in the compression of images with noise. The aim is to reconstruct missing regions by means of m…
Choosing The Best Interpolation Data in Images with Noise
Zakaria Belhachmi, Thomas Jacumin
We introduce and discuss shape based models for finding the best interpolation data in compression of images with noise. The aim is to reconstruct missing regions by means of minim…