Single image super-resolution via low-rank tensor representation and hierarchical dictionary learning
Multimedia Tools and Applications, pp. 11767-11785, 2020.
Super-resolution (SR) has been widely studied due to its importance in real applications and scenarios. In this paper, we focus on generating an SR image from a single low-resolution (LR) input image by employing the multi-resolution structures of an input image. By taking the LR image and its downsampled resolution (DR) and upsampled res...More
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