Implementation Of Low Rank Matrix Method For Image Super Resolution

ELECTRONICS AND TELECOMMUNICATION ENGINEERING

Now a day’s immense work is going on image super resolution. In order to improve image resolution different techniques have been propounded. Improving image resolution has its importance in different image processing applications. At commercial background especially in photography it has become important part as well as on research background in biomedical engineering, satellite communication image resolution improvement has its own significance. This paper is supposed to implement an Innovative and highly effective method to analyze the local order of the linear model depending on theory of low-rank matrix completion and recovery; it is a technique for performing single-image super resolution that is initiated by generating the reconstruction as the recovery of a low-rank matrix. Besides that the proposed method can be utilized to process noisy data and random perturbations effectively. The proposed method is compared with bilinear method.

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