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  • 标题:Computational Imaging Prediction of Starburst-Effect Diffraction Spikes
  • 本地全文:下载
  • 作者:Markus Lendermann ; Joel Shi Quan Tan ; Jin Ming Koh
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2018
  • 卷号:8
  • 期号:1
  • 页码:16919
  • DOI:10.1038/s41598-018-34400-z
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:When imaging bright light sources, rays of light emanating from their centres are commonly observed; this ubiquitous phenomenon is known as the starburst effect. The prediction and characterization of starburst patterns formed by extended sources have been neglected to date. In the present study, we propose a novel trichromatic computational framework to calculate the image of a scene viewed through an imaging system with arbitrary focus and aperture geometry. Diffractive light transport, imaging sensor behaviour, and implicit image adjustments typical in modern imaging equipment are modelled. Characterization methods for key optical parameters of imaging systems are also examined. Extensive comparisons between theoretical and experimental results reveal excellent prediction quality for both focused and defocused systems.
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