鬼影成像
稳健性(进化)
图像质量
计算机科学
师(数学)
光学
点扩散函数
人工智能
图像处理
空间频率
噪音(视频)
图像分辨率
计算机视觉
算法
图像(数学)
物理
数学
基因
算术
化学
生物化学
作者
Teruaki Torii,Yuta Haruse,Shintaro Sugimoto,Yusuke Kasaba
出处
期刊:Optics Express
[Optica Publishing Group]
日期:2021-03-16
卷期号:29 (8): 12081-12081
被引量:6
摘要
In the conventional ghost imaging, it requires to illuminate a large number of patterns in order to reconstruct a good quality image under a low signal-to-noise ratio. We propose a new method so called time division ghost imaging to improve the quality of the image in noisy environment. In this procedure, the total number of patterns in the calculation process of the correlation function are divided into the sub-units with fewer illuminated patterns. Then one calculates the correlation for each sub-unit, and synthesizes the intermediate images obtained at each sub-unit. The validation and effectiveness of this method are confirmed by simulation and experiment, showing the robustness to noise.
科研通智能强力驱动
Strongly Powered by AbleSci AI