Generating a high resolution image from a low resolution image for blind super-resolution

Abstract

A method for generating a high resolution image from a low resolution image includes retrieving a plurality of low resolution image patches from the low resolution image, performing discrete wavelet transform on each low resolution image patch to generate a first image patch with a high frequency on a horizontal axis and a high frequency on a vertical axis, a second image patch with a high frequency on the horizontal axis and a low frequency on the vertical axis, and a third image patch with a low frequency on the horizontal axis and a high frequency on the vertical axis, inputting the three image patches to a dual branch degradation extractor to generate a blur representation and a noise representation, and performing contrastive learning on the blur representation and the noise representation by reducing a blur loss and a noise loss.

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