An Extended Krylov Subspace Method for Decoding Edge‐Based Compressed Images by Homogeneous Diffusion
ABSTRACT The heat equation is often used 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 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.
Authors
- Volker Grimm (ORCID: https://orcid.org/0000-0002-6821-5388)
- Kevin Liang
Institutions
- Karlsruhe Institute of Technology (DE)
Publication Details
- Journal
- Numerical Linear Algebra with Applications
- Published
- 2025-12-25
- DOI
- https://doi.org/10.1002/nla.70052
- Primary Topic
- Generative Adversarial Networks and Image Synthesis
- Type
- article
- Field-Weighted Citation Impact
- 0.00