Benchmark datasets for image denoising methods

由 A Abdelhamed 著作 · 2018 · 被引用 716 次 — We propose a systematic procedure for estimating ground truth for noisy images that can be used to benchmark denoising perfor- mance for smartphone cameras.

We collected a dataset for real (fluorescence) widefield microscopy denoising, published in ECCV 2020 BioImage Computing (BIC) Workshop. It also contains data ...

Hence, we present a novel denoising benchmark, the Darmstadt Noise Dataset (DND). It consists of 50 pairs of real noisy images and corresponding ground ...

Denoising. 1917 papers with code • 5 benchmarks • 20 datasets. Denoising is a task in image processing and computer vision that ...

Cilia Denoising Benchmark Dataset. A sample of synthetic noise-free reference image created by combining multiple instances of structurally preserved cilia ...

The Fluorescence Microscopy Denoising (FMD) dataset is dedicated to Poisson-Gaussian denoising. The dataset consists of 12,000 real fluorescence microscopy ...

由 A Groleau 著作 · 2023 · 被引用 1 次 — In this paper, we discuss the creation process of ShabbyPages and demonstrate the utility of ShabbyPages by training convolutional denoisers ...

Using this procedure, we have captured a dataset, the Smartphone Image Denoising Dataset (SIDD), of ~30,000 noisy images from 10 scenes under different lighting ...

Repository files navigation ... This benchmark dataset is widely used for measuring image denoising algorithms performance. The directory contains training ...

The dataset contains 160 pairs of noisy/ground-truth images taken by the following smartphones under different lightening conditions: GP: Google Pixel; IP ...