Preserving accuracy is a challenging issue in super resolution images. Inthis paper, we propose a new FFT based image registration algorithm and asparse based super resolution algorithm to improve the accuracy of superresolution image. Given a low resolution image, our approach initially extractsthe local descriptors from the input and then the local descriptors from thewhole correlated images using the SIFT algorithm. Once this is completed, itwill compare the local descriptors on the basis of a threshold value. Theretrieved images could be having different focal length, illumination,inclination and size. To overcome the above differences of the retrievedimages, we propose a new FFT based image registration algorithm. After theregistration stage, we apply a sparse based super resolution on the images forrecreating images with better resolution compared to the input. Based on thePSSNR calculation and SSIM comparison, we can see that the new methodologycreates a better image than the traditional methods.
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