Share Email Print

Proceedings Paper

Ghosting images processing methods for dynamic aberration detection in imaging systems
Author(s): Yi Yang; Quan Sun; Xuanzhe Zhang; Shaojun Du; Baozhu Yan
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 26 June 2017
PDF: 9 pages
Proc. SPIE 10335, Digital Optical Technologies 2017, 103351Z (26 June 2017); doi: 10.1117/12.2270094
Show Author Affiliations
Yi Yang, Anhui Institute of Optics and Fine Mechanics (China)
Univ. of Science and Technology of China (China)
National Univ. of Defense Technology (China)
Quan Sun, National Univ. of Defense Technology (China)
Xuanzhe Zhang, National Univ. of Defense Technology (China)
Shaojun Du, National Univ. of Defense Technology (China)
Baozhu Yan, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 10335:
Digital Optical Technologies 2017
Bernard C. Kress; Peter Schelkens, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?