Employing structural and statistical information to learn dictionary(s) for single image super-resolution in sparse domain
Abstract
It has been argued that structural information plays a significant role in the perceptual quality of images, but the importance of statistical information cannot be neglected. In this work, we have proposed an approach, which explores both structural and statistical information of image patches to learn multiple dictionaries for super-resolving an image in sparse domain. Structural information is estimated using dominant edge orientation, and...
Paper Details
Title
Employing structural and statistical information to learn dictionary(s) for single image super-resolution in sparse domain
Published Date
Oct 1, 2016
Volume
48
Pages
63 - 80
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