28 datasets found

Low-dose CT images with corresponding standard-dose HQ CT images

Image quality is the basis of image communication and understanding tasks. Due to the blur and noise effects caused by imaging, transmission and other processes, the image...

The dataset used in this paper is a hyperspectral image dataset, which is a type of multi-dimensional data. The dataset is used for tensor completion, a problem in scientific...

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

The CU-Mamba model is used for image restoration, and the authors tested it on the SIDD and DND datasets.

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.

The dataset used for training and testing the N2V2 method, consisting of 1 428 training and 252 validation patches of size 128 × 128px, showing membrane labeled cells in a flywing.

The dataset used for training and testing the N2V2 method, consisting of 908 training and 160 validation images of size 128 × 128px, showing cell nuclei in the developing mouse...

The dataset used for training and testing the N2V2 method, consisting of 100 noisy short exposure fluorescence acquisitions of the same 1024 × 1024px field of view of the same...

SFinGe is a synthetic fingerprint dataset that can generate fingerprints with varying ridge structures and patterns.

NIST Special Database 302 contains plain, rolled and touch-free impressions captured from various devices.

Fingerprint enhancement task can be related to image denoising. However, we need to consider the inherent properties of biometric data and that it should be handled differently...

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

Dataset used for training and testing the INSP-ConvNet model.

Dataset used for training and testing the INSP-ConvNet model.

Dataset used for training and testing the INSP-ConvNet model.

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