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18 April 2013 Novel algorithm to compensate nonlinear response of photo detector to improve quality of image reconstruction for compressed sensing
Jiayan ZZhuang, Qian Chen, Weiji He, Weiyi Feng
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Optical Engineering, Vol. 52, Issue 4, 043204 (April 2013). https://doi.org/10.1117/1.OE.52.4.043204
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 the reconstructed images. We propose an algorithm to compensate the nonlinear response from the detector. The compensation is based on the detector response curve on the measured data. The theoretical analysis and simulation results show that this algorithm can greatly reduce the reconstruction errors caused by the detector’s nonlinear response. Furthermore the peak signal-to-noise ratio of the reconstructed image and the system reconstruction rate have been significantly improved, while the fine feature of the images is better preserved and reconstructed as compared to that without using the algorithm.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Jiayan ZZhuang, Qian Chen, Weiji He, and Weiyi Feng "Novel algorithm to compensate nonlinear response of photo detector to improve quality of image reconstruction for compressed sensing," Optical Engineering 52(4), 043204 (18 April 2013). https://doi.org/10.1117/1.OE.52.4.043204
Published: 18 April 2013
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Cited by 1 scholarly publication.
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KEYWORDS
Reconstruction algorithms
Sensors
Nonlinear response
Detection and tracking algorithms
Compressed sensing
Image quality
Imaging systems
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