Optical Flow

The matlab code for computing optimal optical flow masks for compression is avaible here. Note that the code is hardly documented and provided “as-is”. The code is released under a GPL v3 licence (unless specified differently).

Lossy image compression methods based on partial differential equations have received much attention in recent years. They may yield …

I’ve developed optimization algorithms for variational optical flow models based on the split Bregman algorithm in my Master thesis. A follow-up investigation on the necessity of certain intermediate filtering steps was published at the EMMCVPR 2011. I’ve also shown that the optical flow can be used in the context of partial differential equation based image compression. The results were presented in two publications at the SSVM 2019 and in the Journal of Mathematical Imaging and Vision.

Lossy image compression methods based on partial differential equations have received much attention in recent years. They may yield …

Bregman iterations are known to yield excellent results for denoising, deblurring and compressed sensing tasks, but so far this …

Oral presentation

The Euler-Lagrange framework and splitting based methods are among the most popular approaches to solve variational optic flow …

Poster presentation

Osher and his colleagues introduced Bregman iterations in image processing in 2005. This technique is known to yield excellent results …