Chinese Optics Letters, 2017, 15 (12): 121101, Published Online: Jul. 18, 2018  

Double-threshold technique for achieving denoising in compressive imaging applications Download: 897次

Author Affiliations
1 Center for Quantum Technology Research, School of Physics, Beijing Institute of Technology, Beijing 100081, China
2 China Academy of Engineering Physics, Mianyang 621900, China
3 Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
Abstract
Single-pixel cameras, which employ either structured illumination or image modulation and compressive sensing algorithms, provide an alternative approach to imaging in scenarios where the use of a detector array is restricted or difficult because of cost or technological constraints. In this work, we present a robust imaging method based on compressive imaging that sets two thresholds to select the measurement data for image reconstruction. The experimental and numerical simulation results show that the proposed double-threshold compressive imaging protocol provides better image quality than previous compressive imaging schemes. Faster imaging speeds can be attained using this scheme because it requires less data storage space and computing time. Thus, this denoising method offers a very effective approach to promote the implementation of compressive imaging in real-time practical applications.

Chao Wang, Xuri Yao, Qing Zhao. Double-threshold technique for achieving denoising in compressive imaging applications[J]. Chinese Optics Letters, 2017, 15(12): 121101.

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