No-Reference Metrics for Images Quality Estimation in a Face Recognition Task

Aleksander S. Voznesensky,Aleksandr M. Sinitca,Evgeniy D. Shalugin, Sergei A. Antonov,Dmitrii I. Kaplun

Current Problems in Applied Mathematics and Computer Science and Systems Lecture Notes in Networks and Systems（2023）

引用 0|浏览0

暂无评分

摘要

No-reference metrics (BRISQUE, NIQE, PIQE) and full-reference metrics (PSNR, SSIM) for face recognition quality estimation are presented in this paper. Different noise types are considered: gaussian and salt &pepper noise with SNR in range 0...40 dB. Regression models between full-reference and no-reference metrics are considered. The quality of the regression models is estimated via $$R^2$$ and RMSE.

查看译文

关键词

images quality estimation,face recognition task,no-reference

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要