Phase retrieval–based distribution detecting method for transparent objects

Liang Wu; Shaohua Tao; Si Xiao

doi:10.1117/1.OE.54.11.113103

3 November 2015 Phase retrieval–based distribution detecting method for transparent objects

Liang Wu, Shaohua Tao, Si Xiao

Author Affiliations +

Optical Engineering, Vol. 54, Issue 11, 113103 (November 2015). https://doi.org/10.1117/1.OE.54.11.113103

Abstract

A distribution detecting method to recover the distribution of transparent objects from their diffraction intensities is proposed. First, on the basis of the Gerchberg-Saxton algorithm, a wavefront function involving the phase change of the object is retrieved from the incident light intensity and the diffraction intensity, then the phase change of the object is calculated from the retrieved wavefront function by using a gradient field-based phase estimation algorithm, which circumvents the common phase wrapping problem. Finally, a linear model between the distribution of the object and the phase change is set up, and the distribution of the object can be calculated from the obtained phase change. The effectiveness of the proposed method is verified with simulations and experiments.

Citation Download Citation

Liang Wu, Shaohua Tao, and Si Xiao "Phase retrieval–based distribution detecting method for transparent objects," Optical Engineering 54(11), 113103 (3 November 2015). https://doi.org/10.1117/1.OE.54.11.113103

Published: 3 November 2015

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