Dynamic Approaches for Enhancing Single Image Super-Resolution Using Gradient Profile Sharpness Technique
DOI:
https://doi.org/10.51983/ajcst-2016.5.1.1765Keywords:
Single-image super-resolution, Gradient profile sharpness, Gaussian mixture model, SegmentationAbstract
In this paper, we propose an image super-resolution approach using a gradient profile prior, which is a parametric prior describing the shape and the sharpness of the image gradients. Generate high resolution image from a low resolution input image single image super resolution is used. Single image super resolution is used to enhance the quality of image. In this paper there is a image super resolution algorithm is proposed which is based on GPS Gradient Profile Sharpness. Indicate the superior performance of the proposed algorithm compared to the leading super-resolution algorithms in the literature over a set of natural images in sharp edges and corners.
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