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| TUCPA05 |
Laser Damage Image Pre-processing Based on Total Variation |
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- J. Luo, Z. Ni, X. Xie, X. Zhou
CAEP, Sichuan, People's Republic of China
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The inspection and tracking of laser-induced damages of optics play a significant role in high-power laser systems. Laser-induced defects or flaws on the surfaces of optics are presented in images acquired by specific charge coupled devices (CCDs), hence the identification of defects from laser damage images is essential. Despite a great effort we have made to improve the imaging results, the defect identification is a challenging task. The proposed research focuses on the pre-processing of laser damage images, which assists identifying optic defects. We formulate the image pre-processing as a total variation (TV) based image reconstruction problem, and further develop an alternating direction method of multipliers (ADMM) algorithm to solve it. The use of TV regularization makes the pre-processed image sharper by preserving the edges or boundaries more accurately. Experimental results demonstrate the effectiveness of this method.
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Slides TUCPA05 [0.538 MB]
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| DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUCPA05
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