An extended Krylov subspace method for decoding edge-based compressed images by homogeneous diffusion
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2021
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866912291079847936 |
|---|---|
| author | Grimm, Volker Liang, Kevin |
| author_facet | Grimm, Volker Liang, Kevin |
| contents | The heat equation is often used in order to inpaint dropped data in inpainting-based lossy compression schemes. We propose an alternative way to numerically solve the heat equation by an extended Krylov subspace method. The method is very efficient with respect to the direct computation of the solution of the heat equation at large times. And this is exactly what is needed for decoding edge-compressed pictures by homogeneous diffusion. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2109_13607 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | An extended Krylov subspace method for decoding edge-based compressed images by homogeneous diffusion Grimm, Volker Liang, Kevin Information Theory Numerical Analysis The heat equation is often used in order to inpaint dropped data in inpainting-based lossy compression schemes. We propose an alternative way to numerically solve the heat equation by an extended Krylov subspace method. The method is very efficient with respect to the direct computation of the solution of the heat equation at large times. And this is exactly what is needed for decoding edge-compressed pictures by homogeneous diffusion. |
| title | An extended Krylov subspace method for decoding edge-based compressed images by homogeneous diffusion |
| topic | Information Theory Numerical Analysis |
| url | https://arxiv.org/abs/2109.13607 |