Abstract
In this paper, we consider and study how to automatically select the regularization parameter in a color total variation minimization model for image restoration. The idea is based on that the variance of the noise can be estimated easily, thus the restored image should satisfy the Morozov discrepancy principle. We developed an iterative scheme to solve the color total variation (CTV) minimization problem, where the CTV norm is represented by the dual formulation and the proximal point method was applied to find a solution. During the iteration, the regularization parameter is automatically adjusted to guarantee the restored image satisfying the discrepancy principle. Numerical experiments are reported in the paper.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
