Super-Resolution Reconstruction of Images using Total Variation Regularization and Wiener Filter Deconvolution
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 4
Abstract
Abstract: This paper presents a novel technique for reconstruction of High-resolution images from multiple Low-resolution images. A Multi-frame approach implements fusion of non-redundant information which was obtained from several low-resolution images of the same scene. Many papers have been published over last two decades proposing a variety of methods for enhancing resolution using the multi-frame approach. This paper reviews some of those proposed methods and addresses their various shortcomings. We propose two methods that are applicable to both gray-scale and colour images. One approach uses Total Variation Regularization for image recovery and deblurring, while the other method implements the use of Wiener filtering for denoising. These approaches also provide insight into solving the demosaicing problem. Simulation of the proposedmethods confirm the effectiveness and superiority of our methods in comparison to the other super-resolution methods
Authors and Affiliations
Amar Janjua , Tanuja Sarode
Keywords
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