Ghosting images processing methods for dynamic aberration detection in imaging systems

Yi Yang; Quan Sun; Xuanzhe Zhang; Shaojun Du; Baozhu Yan

doi:10.1117/12.2270094

26 June 2017 Ghosting images processing methods for dynamic aberration detection in imaging systems

Yi Yang, Quan Sun, Xuanzhe Zhang, Shaojun Du, Baozhu Yan

Proceedings Volume 10335, Digital Optical Technologies 2017; 103351Z (2017) https://doi.org/10.1117/12.2270094
Event: SPIE Digital Optical Technologies, 2017, Munich, Germany

Abstract

Light-spots centroid positions detection is one of the major error sources in the application of Hartmann-Shack (H-S) wavefront sensors. The double images (ghosting) in part of sub-aperture, caused by multiple reflections from optical elements or paraxial stray light from operating environment, result in centroid detection errors and that the precisions of wavefront aberration reconstruction decline. The conventional threshold method often leads to the loss of available information of light-spots, though, by which ghosting can been brought under effective control. In this paper, an improved method and procedure, aiming at ghosting detection and local removal automatically, is proposed by combining several algorithms which include nonlinear processing, autocorrelation, convolution, and local filtering, and so on. Then, the corresponding research has been carried out by a numerical simulation platform established by ourselves, and the results can show that this method and procedure is effective.

Citation Download Citation

Yi Yang, Quan Sun, Xuanzhe Zhang, Shaojun Du, and Baozhu Yan "Ghosting images processing methods for dynamic aberration detection in imaging systems", Proc. SPIE 10335, Digital Optical Technologies 2017, 103351Z (26 June 2017); https://doi.org/10.1117/12.2270094

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KEYWORDS

Image processing

Imaging systems

Convolution

Detection and tracking algorithms

Environmental sensing

Optical components

Stray light

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