Double-threshold technique for achieving denoising in compressive imaging applications

Chao Wang; Xuri Yao; Qing Zhao

doi:doi:10.3788/COL201715.121101

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

Double-threshold technique for achieving denoising in compressive imaging applications Download： 908次

Chao Wang ^1,2,3Xuri Yao ^3,*Qing Zhao ¹

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

Figures & Tables

Fig. 1. (a) Schematic of CI. (b) Result reconstructed from the entire 3600 measurements. L represents lens.

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Fig. 2. Distribution of the |y| and the threshold T1.

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Fig. 3. Results obtained with different thresholds. (a) Image reconstructed from 1757 measurements selected by yT1, and (b) image reconstructed from the remaining 1843 measurements. (c) Image reconstructed from 1742 measurements selected by yT2, and (d) image reconstructed from remaining 1858 measurements. (e) Image reconstructed from 954 measurements selected by yT, and (f) image reconstructed from remaining 2646 measurements.

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Fig. 4. (a) Object. (b) Image reconstructed from entire measurements. (c) Image reconstructed with yT. (d) Image reconstructed with yT1. (e) Image reconstructed with yT2.

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Fig. 5. (a) Reciprocal of MSE versus thresholds T1 and T2. (b) 3D intensity profile of image shown in (a).

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

Double-threshold technique for achieving denoising in compressive imaging applications Download： 908次

Fig. 1. (a) Schematic of CI. (b) Result reconstructed from the entire 3600 measurements. L represents lens.

Fig. 2. Distribution of the |y| and the threshold T1.

Fig. 4. (a) Object. (b) Image reconstructed from entire measurements. (c) Image reconstructed with yT. (d) Image reconstructed with yT1. (e) Image reconstructed with yT2.

Fig. 5. (a) Reciprocal of MSE versus thresholds T1 and T2. (b) 3D intensity profile of image shown in (a).

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Double-threshold technique for achieving denoising in compressive imaging applications Download： 908次

Fig. 1. (a) Schematic of CI. (b) Result reconstructed from the entire 3600 measurements. L represents lens.

Fig. 2. Distribution of the |y| and the threshold T1.

Fig. 4. (a) Object. (b) Image reconstructed from entire measurements. (c) Image reconstructed with yT. (d) Image reconstructed with yT1. (e) Image reconstructed with yT2.

Fig. 5. (a) Reciprocal of MSE versus thresholds T1 and T2. (b) 3D intensity profile of image shown in (a).

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