SSIM values of 7 images and the mean values of 50 images under mixed attacks.

NIAID Data Ecosystem2026-05-02 收录

数据链接：

https://figshare.com/articles/dataset/SSIM_values_of_7_images_and_the_mean_values_of_50_images_under_mixed_attacks_/29981418 数据链接链接失效反馈

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资源简介：

SSIM values of 7 images and the mean values of 50 images under mixed attacks.

创建时间：

2025-08-25

adrianrm/ambient-o-clip-iqa-patches-imagenet

成像质量评估

机器学习模型训练

Ambient Diffusion Omni（环境扩散全息）是一个使用低质量、合成和分布外图像来提高扩散模型质量的框架。与传统依赖高度策划的数据集的方法不同，Ambient-o在训练期间从所有可用图像中提取有价值信号，包括通常被丢弃为“低质量”的数据。此数据集卡片是基于CLIP-IQA的ImageNet质量注释。我们不仅注释了整个图像，还注释了我们论文中使用的256、128、64和32分辨率补丁的

Hugging Face2025-08-17 更新180

Dataset 5A.13: Certification files, sigma = 1, part 13 (Nam et al., Robustness and parameter geography in post-translational modification systems)

后翻译修饰系统

鲁棒性分析

All composite output files from certifying solutions from Paramotopy runs with \sigma = 1.0 on VEGAS-sampled parameter points at \sigma = 50.

NIAID Data Ecosystem60

CT value, Image noise, SNR and CNR.

成像质量评估

CT扫描

a) The body parts mean values.b) Based on modified population marginal means after excluding the 2 cases with high calcification in the thigh and leg regionsCT value, Image noise, SNR and CNR.

Figshare2015-12-03 更新40

Full-Reference Image Quality Assessment with Transformer and DISTS

成像质量评估

图像恢复

To improve data transmission efficiency, image compression is a commonly used method with the disadvantage of accompanying image distortion. There are many image restoration (IR) algorithms, and one o

DataCite Commons2024-05-09 更新170

The quality evaluation results of the MI.

红外可见光图像融合

成像质量评估

Infrared and visible image fusion can generate a fusion image with clear texture and prominent goals under extreme conditions. This capability is important for all-day climate detection and other task

NIAID Data Ecosystem50

SSIM values of 7 images and the mean values of 50 images under mixed attacks.

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