Phase retrieval-based distribution detecting method for transparent objects

作者：Wu, Liang; Tao, Shaohua^*; Xiao, Si

来源：Optical Engineering, 2015, 54(11): 113103.

DOI：10.1117/1.OE.54.11.113103

• distribution detecting
• phase retrieval
• phase estimation algorithm
• linear model

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.

• 出版日期2015-11
• 单位中南大学