IJMTES – IMAGE SUPER RESOLUTION USING SPARSE REPRESENTATION

Journal Title : International Journal of Modern Trends in Engineering and Science

Paper Title : IMAGE SUPER RESOLUTION USING SPARSE REPRESENTATION 

Author’s Name : D Sathish kumar | M Ranjani  unnamed

Volume 03 Issue 07 2016

ISSN no:  2348-3121

Page no: 240-242

Abstract – Single image super resolutions a model and dynamic image processing problem, which object is to generate a high-resolution (HR) image from a low-resolution input image. A sparse representation for each patch of the low – resolution input and uses the coefficients of this representation to generatethehigh resolution output. By joining two dictionaries of the low  and high  resolution image patches, it can enforce the similarity of sparse representations between the low resolution and high resolution image patch pair with respect to  their own dictionaries.Thesparse representation of a low resolution image patch  can be functional with the high resolution image patch dictionary to generate a super   resolution image .This algorithm  generates high–resolution images that are competitive or superior in quality to images produced by other SR methods.  This approach is logically robust to noise and can   handle super  resolution  with  noisy  inputs  in  a  more  combined edge work.      

Keywords— Single image super-resolution, Markov  Random field, Image patch pairs, Sparse Representation  

Reference

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