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

被引：0
|
作者：
赵耀 [1 ]
陈钱 [1 ]
顾国华 [1 ]
隋修宝 [1 ]
机构：
[1] Jiangsu Key Laboratory of Spectral Imaging and Intelligence Sense,Nanjing University of Science and Technology
来源：
ChineseOpticsLetters | 2017年 / 15卷 / 10期
基金：
中国国家自然科学基金; 中央高校基本科研业务费专项资金资助;
关键词：
SNR; Simple and effective method to improve the signal-to-noise ratio of compressive imaging;
D O I：
暂无
中图分类号：
TP391.41 [];
学科分类号：
080203 ;
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.
引用
收藏
页码：50 / 54
页数：5
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