Inpainting by flexible haar-wavelet shrinkage
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
|Journal / Publication||SIAM Journal on Imaging Sciences|
|Online published||4 Sep 2008|
|Publication status||Published - 2008|
|Link to Scopus||https://www.scopus.com/record/display.uri?eid=2-s2.0-84976480368&origin=recordpage|
We present novel wavelet-based inpainting algorithms. Applying ideas from anisotropic regularization and diffusion, our models can better handle degraded pixels at edges. We interpret our algorithms within the framework of forward-backward splitting methods in convex analysis and prove that the conditions for ensuring their convergence are fulfilled. Numerical examples illustrate the good performance of our algorithms.
- Anisotropic methods, Forward-backward algorithm, Image inpainting, Wavelet shrinkage