Abstract
The multiplicative noise removal problem from laser imaging, synthetic aperture radar and ultrasound imaging has received considerable attention in recent years. In this paper, we propose a fast hybrid total variation minimization method to restore multiplicative noisy images. The proposed method can reduce the staircase effect and preserve edges in the restored images. An alternating minimization algorithm is employed to solve the proposed total variation minimization problem. We discuss the convergence of the alternating minimization algorithm. Numerical experiments are given to illustrate the performance of the proposed method.
Sign-in/Register to access full text options 
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.
