Markus Mainberger

发表

Universität Des Saarlandes Fachrichtung 6.1 – Mathematik Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion Understanding, Optimising, and Extending Data Compression with Anisotropi

J. Weickert, Andrés Bruhn, Christian Schmaltz, 2022 .

Dense versus Sparse Approaches for Estimating the Fundamental Matrix

Joachim Weickert, Andrés Bruhn, Levi Valgaerts, 2011, International Journal of Computer Vision.

PDE-based image compression based on edges and optimal data

Markus Mainberger, Markus Mainberger, 2014 .

Is Dense Optic Flow Useful to Compute the Fundamental Matrix?

Joachim Weickert, Andrés Bruhn, Markus Mainberger, 2008, ICIAR.

Universität Des Saarlandes Fachrichtung 6.1 – Mathematik Edge-based Compression of Cartoon-like Images with Homogeneous Diffusion Edge-based Compression of Cartoon-like Images with Homogeneous Diffusion Edge-based Compression of Cartoon-like Images with Homogeneous Diffusion

Joachim Weickert, Andrés Bruhn, Søren Forchhammer, 2022 .

Optimising Spatial and Tonal Data for PDE-based Inpainting pdf

Frank Neumann, Joachim Weickert, Laurent Hoeltgen, 2015, ArXiv.

Compression of Depth Maps with Segment-Based Homogeneous Diffusion

Joachim Weickert, Markus Mainberger, Sebastian Hoffmann, 2013, SSVM.

Optimising Spatial and Tonal Data for Homogeneous Diffusion Inpainting

Frank Neumann, Joachim Weickert, Benjamin Doerr, 2011, SSVM.

Diffusion-Based Image Compression in Steganography

Joachim Weickert, Michael Backes, Christian Schmaltz, 2012, ISVC.

Edge-Based Image Compression with Homogeneous Diffusion

Joachim Weickert, Markus Mainberger, J. Weickert, 2009, CAIP.

Progressive modes in PDE-based image compression

Joachim Weickert, Christian Schmaltz, Markus Mainberger, 2013, 2013 Picture Coding Symposium (PCS).