Multiscale morphological operators are studied extensively in the literature for image processing and feature extraction purposes. This paper model a nonlinear regularization method based on multiscale morphology for edge-preserving super resolution (SR) image reconstruction.SR image reconstruction is formulated as a deblurring problem and then the inverse problem is solved using Bregman iterations. The proposed algorithm can suppress inherent noise generated during low-resolution image formation as well as during SR image estimation ef?ciently. Experimental results show the effectiveness of the proposed regularization and reconstruction method for SR image.
Real Time Impact Factor:
1
Author Name: Mohanthi Kakarla,M. Sreedhar Reddy,N. Lakshmi Narayan
URL: View PDF
Keywords: IJSER,2229-5518,22295518,Mohanthi Kakarla,M. Sreedhar Reddy,N. Lakshmi Narayan
ISSN: 22295518
EISSN:
EOI/DOI:
Add Citation
Views: 4342
