Imaging through turbid medium using a new iterative phase retrieval algorithm

Jiahuan Li Jr.; Chenfei Jin; Siqi Zhang; Mingwei Huang; Yuan Zhao

doi:10.1117/12.2505608

12 December 2018 Imaging through turbid medium using a new iterative phase retrieval algorithm

Jiahuan Li Jr., Chenfei Jin, Siqi Zhang, Mingwei Huang, Yuan Zhao

Proceedings Volume 10845, Three-Dimensional Image Acquisition and Display Technology and Applications; 108450S (2018) https://doi.org/10.1117/12.2505608
Event: International Symposium on Optoelectronic Technology and Application 2018, 2018, Beijing, China

Abstract

Direct detection imaging in complex, inhomogeneous media is a difficult challenge due to the existence of multiple scattering. One way used to extract the information of the object from the speckle pattern is to use speckle correlation based on the memory effect, and the object is recovered by an iterative phase retrieval algorithm. Here we report a new iterative phase retrieval algorithm that is referred to as the absolute output (AO) Gerchberg-Saxton algorithm and can single-shot ultra-fast reconstruct the object image. Different from the error reduction (ER) algorithm and hybrid input-output (HIO) algorithm, this algorithm does not need to satisfy the non-negative constraints. We experimentally demonstrate that the reconstructed image achieved by our algorithm is faster, more reliable, and more consistent. Our method has strong anti-interference ability, which has great potential in imaging through turbid medium such as fog and biological tissue.

Citation Download Citation

Jiahuan Li Jr., Chenfei Jin, Siqi Zhang, Mingwei Huang, and Yuan Zhao "Imaging through turbid medium using a new iterative phase retrieval algorithm", Proc. SPIE 10845, Three-Dimensional Image Acquisition and Display Technology and Applications, 108450S (12 December 2018); https://doi.org/10.1117/12.2505608

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KEYWORDS

Phase retrieval

Point spread functions

Speckle

Image restoration

Speckle pattern

Image processing

CCD cameras

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