Single Image Super Resolution Image Reconstruction with
Mohanthi Kakarla, M. Sreedhar Reddy, Namala Vijaya Lakshmi, Narayan · 2013
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 efficiently. Experimental results show the effectiveness of the proposed regularization and reconstruction method for SR image.