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Super-resolution (SR) can be defined as a method of reconstructing high resolution(HR) image by increasing spatial resolution of one or more low resolution(LR) image counterparts. SR is widely applied in areas like satellite imaging, drones, surveillance and medical imaging etc. SR techniques can be broadly classified as external database driven or internal database driven approaches. The first approach...
A novel hybrid method is proposed for aerial image super-resolution in which the output of the Adaptive Wiener Filter (AWF) based super resolution technique is further enhanced using Example-based Super-Resolution (EBSR). While AWF method gives a reasonable result measured in terms of perceptual quality, it has a disadvantage of blurring the image on account of the weighted averaging. Introduction...
Fractional derivative based techniques have been proposed for preprocessing of digital images. Although these techniques address the texture enhancement and other issues to a certain extent, none of them have proposed a method of determining the fractional order adaptively. In this paper, we propose a Grunwald-Letnikov derivative based fractional derivative mask for image contrast enhancement. The...
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