Advanced Superresolutionand Denoising of Medical Images
Neethu Vinayan, Flower Abraham Mundakal · 2015
Abstract—The objective is to estimate a high-resolution image from a single noisy low-resolution image, with the help of a given database of high and low-resolution image patch pairs. Denoising and super-resolution is integrated on the same framework and is performed on each image patch. For each given input low-resolution patch, its highresolution version is estimated based on finding a nonnegative sparse linear representation of the input patch over the lowresolution patches from the database, where the coefficients of the representation strongly depend on the similarity between the input patch and the sample patches in the database. TV enhancement algorithm for deblurring is performed on the image obtained after performing superresolution and denoising.