2. Optimizing spatial and tonal data for PDE-based inpainting
Variational Methods(2016)
Abstract
Some recent methods for lossy signal and image compression store only a few selected pixels and fill in themissing structures by inpainting with a partial differential equation (PDE). Suitable operators include the Laplacian, the biharmonic operator, and edge-enhancing anisotropic diffusion (EED). The quality of such approaches depends substantially on the selection of the data that is kept. Optimizing this data in the domain and codomain gives rise to challenging mathematical problems that shall be addressed in our work.
MoreTranslated text
Key words
tonal data,spatial,pde-based
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined