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Proceedings Paper

The algorithm of regionally compensating nonlinear response of photo detector to improve the quality of image reconstruction for compressed sensing
Author(s): Jiayan Zhuang; Qian Chen; Zhuang Miao; Weiji He; Weiyi Feng
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Paper Abstract

In imaging systems based on compressed sensing, error in the measured data is incurred due to the nonlinear response of the photo-detector, which affects the quality of reconstructed images. Conventionally, the affected measured data will be eliminated in order to obtain the high reconstruction quality. However, when there are too many measured data affected, it is impossible to reject all such data which will certainly degrade the imaging efficiency. Therefore, an algorithm of regionally compensating the non-linear response from the detector is proposed. The nonlinear measured data will be compensated but not rejected in the proposed algorithm. According to the detector response curve, all of the nonlinear measured data will be divided into several parts. The data in the same part will have the same average compensation factor which can be obtained from the response curve after calculation. The affected measured data will be compensated with the compensation factor regionally before used to reconstruct the original image. The theoretical analysis and simulation results show that a reconstructed image with high quality can still be obtained even when over 80% of the measured data are nonlinear. It is impossible to get such a high quality reconstructed image with the conventionally algorithm. The PSNR and the M-rate in the simulation show that the compensation algorithm can greatly deal with the situation of too many nonlinear measured data.

Paper Details

Date Published: 21 August 2013
PDF: 13 pages
Proc. SPIE 8908, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications, 89080N (21 August 2013); doi: 10.1117/12.2032694
Show Author Affiliations
Jiayan Zhuang, Nanjing Univ. of Science and Technology (China)
Science and Technology on Low-Light-Level Night Vision Lab. (China)
Qian Chen, Nanjing Univ. of Science and Technology (China)
Zhuang Miao, Science and Technology on Low-Light-Level Night Vision Lab. (China)
Weiji He, Nanjing Univ. of Science and Technology (China)
Weiyi Feng, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8908:
International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications
Jun Ohta; Nanjian Wu; Binqiao Li, Editor(s)

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