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Phase Retrieval Based Deconvolution Algorithm in Optical Systems

Citation Author(s):
Shaohua Qin, Sebastian Berisha, David Mayerich and Zhu Han
Submitted by:
shaohua qin
Last updated:
9 November 2017 - 11:20am
Document Type:
Poster
Document Year:
2017
Event:
Presenters:
Shaohua Qin
Paper Code:
1392
 

In an optical imaging system, the retrieved image of an object is blurred by the point spread function (PSF) of the system,and cannot exactly represent the object. Deconvolution is an effective method to recover the object from the blurred image and improve the resolution of the optical system. But in real optical system, the detector only measures the intensity of the light, not the phase. So, the information used in image deconvolution is incomplete and reduces the quality of the final result.Fortunately, phase retrieval theory provides an effective method to recover the complex field from an intensity image. With the phase information, we can get use the complete field information to reconstruct the object more accurately. In this paper, we propose a method based on the phase retrieval to recover the object from the image. Simulation results indicate that our proposed method has improved performance.

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