The work of Levin et al.(2004) popularized stroke-based methods that add color to gray
value images according to a small amount of user-specified color samples. Even though …

In image compression, codecs that rely on interpolation with partial differential equations
(PDEs) are becoming increasingly popular. However, there have not been many attempts to …

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) …

Compared to transform-based image compression methods such as JPEG2000,
approaches based on partial-differential equations (PDEs) are in a proof-of-concept stage …

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 …

There is an urgent need from various multimedia applications to efficiently compress point
clouds. The Moving Picture Experts Group has released a standard platform called geometry …

A digital image compression framework based on nonlinear partial differential equations
(PDEs) is proposed in this research article. First, a feature keypoint-based sparsification …

Adaptive transform coding is gaining more and more attention for better mining of image
content over fixed transforms such as discrete cosine transform (DCT). As a special case …

Diffusion-based image compression methods can surpass state-of-the-art transform coders
like JPEG 2000 for cartoon-like images. However, they are not well-suited for highly textured …