Comparison of denoising performance between LU-Net and DAE models.

Figshare2025-04-09 更新2026-04-28 收录

数据链接：

https://figshare.com/articles/dataset/Comparison_of_denoising_performance_between_LU-Net_and_DAE_models_/28764650 数据链接链接失效反馈

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Comparison of denoising performance between LU-Net and DAE models.

创建时间：

2025-04-09

Polarization Denoising and Demosaicking Dataset

图像去噪

图像去马赛克

本数据集包含40个真实场景，并提供了三种不同噪声水平下的数据。每个场景都包含了一对数据：一个是有噪声的马赛克输入图像，另一个是与之对应的噪声-free完整图像。该数据集旨在为极化图像的去噪和去马赛克任务提供一个新的评估平台，有助于推动该领域的研究。数据集的创建过程包括使用JAI CV-M9GE 3-CCD RGB相机和SIGMAKOKI SPF-50C-32线性偏振滤光片，通过旋转偏振滤光片在0度

arXiv2025-09-12 更新580

Data and Codes for Reproducing the Results of Analysis SimCO Dictionary Learning Algorithms

字典学习

图像去噪

The synthetic data were generated using the codes provided. The images used in denoising experiments were downloaded from open sources.

DataCite Commons2024-11-05 更新60

Data for Rolling-circles: detect and reduce noise via erosion of finite-difference moduli for preserving signals

信号去噪

形态学滤波

Datasets for all cases and figures found at our paper. With the exception of data_GraphicalAbstract.zip, all files contain at least 3 files: info.txt (metadata), input.txt (before RC filtering), and o

Mendeley Data10

ELD (Extreme Low-light Denoising dataset)

低光图像增强

图像去噪

极端微光去噪 (ELD) 数据集，涵盖了10个室内场景和4个来自多个品牌的相机设备 (SonyA7S2，NikonD850，CanonEOS70D，CanonEOS700D)。对于嘈杂的图像，它具有三个级别 (800，1600，3200) 和两个弱光因子 (100，200)，总共产生240个 (3 × 2 × 10 × 4) raw图像对。

OpenXLab120

Dataset for salt-and-pepper noise image classification, noise marking and denoising

盐和胡椒噪声图像处理

图像去噪

In order to improve the efficiency and quality of salt-and-pepper denoising and realize the strategy of ‘denoising after judging’, the noise image classification network (CNN-J) is needed to judge whe

IEEE20

Comparison of denoising performance between LU-Net and DAE models.

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