12 datasets found

The dataset used for testing the proposed Multi-scale Dense Cross Network (MDCN) for image super-resolution.

The dataset used in the paper is a synthetic dataset for blind super-resolution, consisting of low-resolution images and their corresponding blur kernels.

The Flickr2K dataset is a low-resolution image dataset used for image super-resolution tasks.

Dataset for single image super-resolution

The dataset used in the paper is a synthetic dataset for blind super-resolution, consisting of low-resolution images and their corresponding blur kernels.

The dataset used in the paper is a synthetic dataset for blind super-resolution, consisting of low-resolution images and their corresponding blur kernels.

The dataset used for training and testing the proposed Incremental Residual Learning (IRL) framework.

Implicit neural representation, which expresses an image as a continuous function rather than a discrete grid form, is widely used for image processing. The dataset used in this...

The dataset used in the paper is a synthetic dataset for blind super-resolution, consisting of low-resolution images and their corresponding blur kernels.

Real-world super-resolution (RealSR) dataset by adjusting the focal length of a digital camera, and introducing the Laplacian pyramid based kernel prediction network (LP-KPN) to...

The RealSR dataset contains 595 pairs of HR and LR images captured by adjusting focal length through Canon and Nikon DSLR cameras.

Single Image Super-Resolution (SR) aims to generate a High Resolution (HR) image I SR from a low resolution (LR) im-age I LR such that it is similar to original HR image I HR....