Many automated processes such as auto-piloting rely on a good semantic segmentation as
a critical component. To speed up performance, it is common to downsample the input …

Partial differential equations (PDEs) are able to reconstruct images accurately from a small
fraction of their image points. The inpainting capabilities of sophisticated anisotropic PDEs …

Some recent methods for lossy signal and image compression store only a few selected
pixels and fill in the missing structures by inpainting with a partial differential equation (PDE) …

Lossy image compression methods based on partial differential equations have received
much attention in recent years. They may yield high-quality results but rely on the …

After a boom that coincided with the advent of the internet, digital cameras, digital video and
audio storage and playback devices, the research on data compression has rested on its …

Laplace interpolation is a popular approach in image inpainting using partial differential
equations. The classic approach considers the Laplace equation with mixed boundary …

The discrete Laplace operator is ubiquitous in spectral shape analysis, since its
eigenfunctions are provably optimal in representing smooth functions defined on the surface …

Optimal known pixel data for inpainting in compression codecs based on partial differential
equations is real-valued and thereby expensive to store. Thus, quantisation is required for …

In recent trends, the image compression plays a pivotal part in conveying information
throughout the world. It helps to reduce the redundant data of the image for the purpose of …

Modern optical flow methods are often composed of a cascade of many independent steps
or formulated as a black box neural network that is hard to interpret and analyze. In this work …