节点文献

Simple and effective method to improve the signal-to-noise ratio of compressive imaging

推荐 CAJ下载
PDF下载
不支持迅雷等下载工具，请取消加速工具后下载。

【Author】 Yao Zhao;Qian Chen;Guohua Gu;Xiubao Sui;Jiangsu Key Laboratory of Spectral Imaging and Intelligence Sense,Nanjing University of Science and Technology;

【机构】 Jiangsu Key Laboratory of Spectral Imaging and Intelligence Sense,Nanjing University of Science and Technology；

【摘要】 This Letter presents a simple and effective method to improve the signal-to-noise ratio(SNR) of compressing imaging. The main principles of the proposed method are the correlation of the image signals and the randomness of the noise. Multiple low SNR images are reconstructed firstly by the compressed sensing reconstruction algorithm, and then two-dimensional time delay integration technology is adopted to improve the SNR. Results show that the proposed method can improve the SNR performance efficiently and it is easy to apply the a lgorithm to the real project.更多还原

【Abstract】 This Letter presents a simple and effective method to improve the signal-to-noise ratio(SNR) of compressing imaging. The main principles of the proposed method are the correlation of the image signals and the randomness of the noise. Multiple low SNR images are reconstructed firstly by the compressed sensing reconstruction algorithm, and then two-dimensional time delay integration technology is adopted to improve the SNR. Results show that the proposed method can improve the SNR performance efficiently and it is easy to apply the a lgorithm to the real project.更多还原

【关键词】 compressive； reconstructed； compressed； apply； noisy； sparse； Reconstruction； PSNR； illumination； minimization；

【基金】 supported by the National Natural Science Foundation of China(No.11503010);the Fundamental Research Funds for the Central Universities(No.30916015103)

【文献出处】 Chinese Optics Letters ,中国光学快报(英文版) , 编辑部邮箱 ,2017年10期

【分类号】TP391.41
【被引频次】2
【下载频次】32

知网节下载

节点文献中：

本文链接的文献网络图示:

本文的引文网络

节点文献