Abstract
The super-resolution reconstruction can be regarded as a typical ill-posed inverse problem. Regularization method is the most important method used to solve this kind of problem. How to determine the regularization parameter is the most critical and most difficult problem in the regularization algorithm. An adaptive regularization parameter to determine the method is presented. It gives full consideration to the image of the smooth, angular edges and other structural characteristics. Experimental results show that the proposed method achieve a good recovery to noise suppression and edge detail maintain compared to classical methods such as Tikhonov regularization, GCV, L-curve.
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.
