Sep 26, 2021 · In this paper, we propose a structure-preserving super-resolution (SPSR) method to alleviate the above issue while maintaining the merits of GAN-based methods.

In this paper, we present a novel structure preserving method for single image super-resolution to well construct edge structures and small detail ...

This paper introduces a novel custom loss function that can be integrated with a CNN-based model for Image Super-Resolution. The index of structural similarity ...

Since the gradient map reveals the sharpness of each local region in an image, we exploit this powerful tool to guide image recovery. On the one hand, we design ...

Firstly, we propose SPSR with gradient guidance (SPSR-G) by exploiting gradient maps of images to guide the recovery in two aspects. On the one hand, we restore ...

In this paper, we present a novel structure preserving method for single image super-resolution to well construct edge struc- tures and small detail structures.

In this paper, we propose a structure-preserving super resolution method to alleviate the above issue while maintaining the merits of GAN-based methods to ...

Jul 26, 2017 · Abstract:Single image super resolution (SR), which refers to reconstruct a higher-resolution (HR) image from the observed low-resolution (LR) ...

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Jul 13, 2023 · Many single image super-resolution (SISR) methods that use convolutional neural networks (CNNs) learn the relationship between low-and high- ...