A framelet-based image inpainting algorithm

Citations of this article
Mendeley users who have this article in their library.


Image inpainting is a fundamental problem in image processing and has many applications. Motivated by the recent tight frame based methods on image restoration in either the image or the transform domain, we propose an iterative tight frame algorithm for image inpainting. We consider the convergence of this framelet-based algorithm by interpreting it as an iteration for minimizing a special functional. The proof of the convergence is under the framework of convex analysis and optimization theory. We also discuss the relationship of our method with other wavelet-based methods. Numerical experiments are given to illustrate the performance of the proposed algorithm. © 2007 Elsevier Inc. All rights reserved.

Author supplied keywords




Cai, J. F., Chan, R. H., & Shen, Z. (2008). A framelet-based image inpainting algorithm. Applied and Computational Harmonic Analysis, 24(2), 131–149. https://doi.org/10.1016/j.acha.2007.10.002

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free