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Structured noise Convallaria dataset for structured noise removal benchmark as used in StructN2V paper

NIAID Data Ecosystem2026-03-12 收录

生物医学图像去噪

结构化噪声去除

数据链接：

https://zenodo.org/record/5160337 数据链接链接失效反馈

官方服务：

资源简介：

Structured Convallaria dataset for structured noise removal benchmark as used in StructN2V paper (https://www.frontiersin.org/articles/10.3389/fcomp.2020.00005/full)

应用场景：

创建时间：

2021-08-05

生物医学图像去噪

HeLa细胞图像分析

Comparison of the proposed method with the BM3D method in terms of PSNR (dB) for each channel on the first set of HeLa cell images.

Figshare2015-12-03 更新40

Structured-Noise Deconvolution Benchmark — Representative Sample

遥感图像去卷积

结构化噪声去除

Anonymous deposit for the NeurIPS 2026 Evaluations & Datasets Track double-blind review. This deposit provides a representative ~76 MB sample of the full benchmark (16.7 GB), per the OpenReview "Datas

Zenodo2026-05-07 更新20

Comparison of the proposed method with the BM3D method in terms of PSNR(dB) for various laser intensities on the second set of HeLa cell images.

生物医学图像去噪

成像质量评估

Comparison of the proposed method with the BM3D method in terms of PSNR(dB) for various laser intensities on the second set of HeLa cell images.

Figshare2015-12-03 更新10

Noise reduction and quantification of fiber orientations in greyscale images

纤维定向量化

生物医学图像去噪

Quantification of the angular orientation distribution of fibrous tissue structures in scientific images benefits from the Fourier image analysis to obtain quantitative information. Measurement uncert

Figshare2020-01-16 更新20

FMD(Fluorescence Microscopy Denoising )

生物医学图像去噪

显微图像处理

荧光显微镜去噪 (FMD) 数据集专用于泊松-高斯去噪。该数据集由 12,000 张真实荧光显微镜图像组成，这些图像是使用商业共聚焦、双光子和广角显微镜以及细胞、斑马鱼和小鼠脑组织等代表性生物样本获得的。图像平均用于有效地获得地面实况图像和 60,000 个具有不同噪声水平的噪声图像。

OpenXLab10