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RIS citation export for TUCPA05: Laser Damage Image Pre-processing Based on Total Variation

AU - Luo, J.
AU - Ni, Z.
AU - Xie, X.
AU - Zhou, X.
ED - Schaa, Volker RW
TI - Laser Damage Image Pre-processing Based on Total Variation
J2 - Proc. of ICALEPCS2017, Barcelona, Spain, 8-13 October 2017
C1 - Barcelona, Spain
T2 - International Conference on Accelerator and Large Experimental Control Systems
T3 - 16
LA - english
AB - 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.
CP - Geneva, Switzerland
SP - 272
EP - 275
KW - ion
KW - optics
KW - laser
KW - site
KW - electron
DA - 2018/01
PY - 2018
SN - 978-3-95450-193-9
DO - 10.18429/JACoW-ICALEPCS2017-TUCPA05
UR - http://jacow.org/icalepcs2017/papers/tucpa05.pdf
ER -