In the existing exemplar-based image inpainting algorithms, the Sum of Squared Differences
(SSD) method is employed to measure the similarities between patches in a fixed size, and …

Plug-and-Play priors recently emerged as a powerful technique for solving inverse problems
by plugging a denoiser into a classical optimization algorithm. The denoiser accounts for the …

Inpainting-based compression methods are qualitatively promising alternatives to transform-
based codecs, but they suffer from the high computational cost of the inpainting step. This …

Diffusion MRI is a modern neuroimaging modality with a unique ability to acquire
microstructural information by measuring water self-diffusion at the voxel level. However, it …

In spite of the fact that efficient compression methods for dense two-dimensional flow fields
would be very useful for modern video codecs, hardly any research has been performed in …

Compression methods based on inpainting are an evolving alternative to classical transform-
based codecs for still images. Attempts to apply these ideas to video compression are rare …

Inpainting-based compression has been suggested as a qualitative competitor to the JPEG
family of transform-based codecs, specifically for high compression ratios. However, it also …

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 …

Edge-enhancing diffusion (EED) can reconstruct a close approximation of an original image
from a small subset of its pixels. This makes it an attractive foundation for PDE based image …

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 …