Chinese Optics Letters, 2017, 15 (10): 101101, Published Online: Jul. 19, 2018  

Simple and effective method to improve the signal-to-noise ratio of compressive imaging Download: 923次

Author Affiliations
Jiangsu Key Laboratory of Spectral Imaging and Intelligence Sense, Nanjing University of Science and Technology, Nanjing 210094, China
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.

Yao Zhao, Qian Chen, Guohua Gu, Xiubao Sui. Simple and effective method to improve the signal-to-noise ratio of compressive imaging[J]. Chinese Optics Letters, 2017, 15(10): 101101.

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