Hybrid phase retrieval from a single defocused image

Bing Dong; Genglei Jia; Rui Wang

doi:10.1117/12.2193567

5 August 2015 Hybrid phase retrieval from a single defocused image

Bing Dong, Genglei Jia, Rui Wang

Proceedings Volume 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 962205 (2015) https://doi.org/10.1117/12.2193567
Event: International Conference on Optical Instruments and Technology 2015, 2015, Beijing, China

Abstract

A hybrid phase retrieval (HPR) method using a combination of linear phase retrieval (LPR) and iterative phase retrieval (IPR) is proposed for real-time wavefront sensing. Only the intensity information of a single defocused image is required by HPR. Low-order aberrations are estimated by classical LPR algorithm but using a “segmented” detector to provide design flexibility and better sensing accuracy. High-order aberrations are estimated by a kind of modified Gerchberg-Saxton (MGS) algorithm which uses the LPR result as a prior knowledge to significantly speed the convergence. The performance of HPR is tested under various seeing conditions by simulation. For atmospheric aberrations with D/r0=3, HPR containing LPR and ten-iteration IPR can achieve an averaged Strehl ratio of 0.88.

Citation Download Citation

Bing Dong, Genglei Jia, and Rui Wang "Hybrid phase retrieval from a single defocused image", Proc. SPIE 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 962205 (5 August 2015); https://doi.org/10.1117/12.2193567

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KEYWORDS

Sensors

Phase retrieval

Magnesium

Image segmentation

Signal to noise ratio

Detection and tracking algorithms

Image processing algorithms and systems

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