12 datasets found

The SIDD and DND datasets are used for testing the CU-Mamba model.

The dataset contains two sets of image patches each from the Experimental Data Record (i.e., Raw images without any corrections) and Reduced Data Record (i.e., corrected, and...

The JPEG compression artifact removal dataset contains images with strong JPEG compression artifacts.

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 Gaussian denoising, created by augmenting and frequency-manipulating images to tap into the epistemic uncertainty of a pretrained denoiser.

A benchmark Abdominal Adipose Tissue CT Image Dataset (AATTCT-IDS) for image denoising, semantic segmentation, and radiomics evaluation.

The dataset used in the paper is Kodak24, a dataset for image denoising.

The dataset used in the paper for image denoising, consisting of 50 scenarios.

The dataset used in this paper is the CIFAR-10, ImageNet and CelebA dataset.

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

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...

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....