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http://opticalengineering.spiedigitallibrary.org/article.aspx?articleid=1869898
Xiao Xiao
Xidian University, Department School of Telecommunication Engineering, Xi’an 710071, China
Yang Zhang
Xidian University, Department School of Telecommunication Engineering, Xi’an 710071, China
Xiaowei Liu
Xidian University, Department School of Telecommunication Engineering, Xi’an 710071, China
Opt. Eng. 53(5), 053101 (May 05, 2014). doi:10.1117/1.OE.53.5.053101
History: Received November 27, 2013; Revised March 27, 2014; Accepted April 1, 2014
Abstract. A new compressed imaging system based on compressed sensing (CS) theory is proposed. One single exposure with a frame sensor can replace a sequence of measurements, which is necessary in the conventional CS imaging systems. First, the phase of the incident light is randomly modulated in the Fourier transform domain using a spatial light modulator. When the modulated light passes through the inverse Fourier transform lens, the information of the optical field will spread out across the entire modulated image. Then, a Hartmann-Shack wavefront sensor is employed to sense the intensity and phase information in the final imaging plane. The resolution of the Hartmann-Shack wavefront sensor is far less than the inherent resolution of the imaging system. Finally, a high-resolution image can be reconstructed from the image partially sampled from the Hartmann-Shack wavefront sensor at any position. The numerical experiments demonstrate the effectiveness of the proposed imaging method.
Topics
Compressed sensing ; Compressive imaging ; Imaging systems ; Phase modulation ; Sensors ; Wavefront sensors ; Matrices ; Lenses
Citation
Xiao Xiao ; Yang Zhang and Xiaowei Liu
"Single exposure compressed imaging system with Hartmann-Shack wavefront sensor", Opt. Eng. 53(5), 053101 (May 05, 2014). ;http://dx.doi.org/10.1117/1.OE.53.5.053101
"Single exposure compressed imaging system with Hartmann-Shack wavefront sensor", Opt. Eng. 53(5), 053101 (May 05, 2014). ;http://dx.doi.org/10.1117/1.OE.53.5.053101
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