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Chin. Opt. Lett.
 Home  List of Issues    Issue 10 , Vol. 15 , 2017    10.3788/COL201715.101101


Simple and effective method to improve the signal-to-noise ratio of compressive imaging
Yao Zhao, Qian Chen, Guohua Gu, and Xiubao Sui
Jiangsu Key Laboratory of Spectral Imaging and Intelligence Sense, [Nanjing University of Science and Technology], Nanjing 210094, China

Chin. Opt. Lett., 2017, 15(10): pp.101101

DOI:10.3788/COL201715.101101
Topic:Imaging systems
Keywords(OCIS Code): 110.1758  100.3010  100.3020  

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 algorithm to the real project.

Copyright: © 2003-2012 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Received:2017/6/7
Accepted:2017/7/3
Posted online:2017/7/26

Get Citation: Yao Zhao, Qian Chen, Guohua Gu, and Xiubao Sui, "Simple and effective method to improve the signal-to-noise ratio of compressive imaging," Chin. Opt. Lett. 15(10), 101101(2017)

Note: This work was supported by the National Natural Science Foundation of China (No. 11503010) and the Fundamental Research Funds for the Central Universities (No. 30916015103).



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