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.
Fields of Study & Subjects
Generative Adversarial Networks and Image Synthesis
Advanced Data Compression Techniques
Advanced Steganography and Watermarking Techniques
Publication details
- Journal / source
- Repository KITopen (Karlsruhe Institute of Technology)
- Publication date
- 1 January 2026
- Language
- EN