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A Faster Patch Ordering Method for Image Denoising
The patch ordering method for image denoising uses √n by √n overlapping image patches. -
Synthetic Image Denoising Dataset
The dataset used in the paper is a synthetic image dataset, consisting of 100 images with varying levels of noise. -
Color Image Denoising Dataset
The dataset used in the paper is a color image denoising dataset, consisting of 100 natural images with varying levels of noise. -
EMPIAR-10028
The dataset used in this paper for contrast estimation and image denoising in cryo-electron microscopy. -
MNIST and Caltech101 Silhouettes
The MNIST dataset is a large dataset of handwritten digits, and the Caltech101 Silhouettes dataset is a dataset of binary silhouettes of objects. -
Retinal Scan Denoising
A three-dimensional retinal image denoising task using GraphLab -
SIDD and DND datasets
The SIDD and DND datasets are used for testing the CU-Mamba model. -
Urban100 dataset
The Urban100 dataset is a benchmark for image denoising, containing 100 images with varying levels of noise. -
HiRISE Image Patches Obscured by Atmospheric Dust
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... -
Smartphone Image Denoising Dataset
High-quality denoising dataset for smartphone cameras -
JPEG compression artifact removal dataset
The JPEG compression artifact removal dataset contains images with strong JPEG compression artifacts. -
Gaussian Denoising Dataset
The dataset used for Gaussian denoising, created by augmenting and frequency-manipulating images to tap into the epistemic uncertainty of a pretrained denoiser. -
Mayo-2016 and Mayo-2020 datasets
Two public low-dose CT denoising datasets -
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose C...
Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising -
Additional test data
We hold out 3% of the data for validation and 5% for testing. For additional test data, we render a few PBRT-v3 test scenes that portray practical real-world scenarios1 though...
