Adaptive weighted total variation regularized phase retrieval in differential phase-contrast imaging
文献类型:期刊论文
作者 | Huang, WX![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
刊名 | OPTICAL ENGINEERING
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出版日期 | 2018 |
卷号 | 57期号:5页码:53108 |
关键词 | x-ray imaging phase retrieval inverse problems |
ISSN号 | 0091-3286 |
DOI | 10.1117/1.OE.57.5.053108 |
文献子类 | Article |
英文摘要 | Phase retrieval with unidirectional differential phase-contrast image requires integration with noisy data, which is an illposed inverse problem. Conventional direct integration method would result in severe streak artifacts. Total variation (TV) regularization-based method would reduce the streak artifacts, but the edges parallel with phase-contrast sensitivity direction are likely to be over smoothed. We propose an improved weighted TV regularization phase retrieval method by introducing a weighting factor to the conventional TV term. When applied to simulation and experimental data, this method shows an advantage of preserving the sharpness of the edges while preserving the ability of reducing streak artifacts compared with conventional TV-regularization method. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) |
电子版国际标准刊号 | 1560-2303 |
WOS关键词 | X-RAY SOURCES ; ALGORITHM ; RADIOGRAPHY ; IMAGES |
WOS研究方向 | Optics |
语种 | 英语 |
WOS记录号 | WOS:000435435300017 |
源URL | [http://ir.ihep.ac.cn/handle/311005/286035] ![]() |
专题 | 高能物理研究所_多学科研究中心 高能物理研究所_实验物理中心 |
通讯作者 | Zhu PP(朱佩平) |
作者单位 | 中国科学院高能物理研究所 |
推荐引用方式 GB/T 7714 | Huang, WX,He, QL,Zhu, ZZ,et al. Adaptive weighted total variation regularized phase retrieval in differential phase-contrast imaging[J]. OPTICAL ENGINEERING,2018,57(5):53108. |
APA | Huang, WX.,He, QL.,Zhu, ZZ.,Zhang, J.,Yuan, QX.,...&Wang, Y.(2018).Adaptive weighted total variation regularized phase retrieval in differential phase-contrast imaging.OPTICAL ENGINEERING,57(5),53108. |
MLA | Huang, WX,et al."Adaptive weighted total variation regularized phase retrieval in differential phase-contrast imaging".OPTICAL ENGINEERING 57.5(2018):53108. |
入库方式: OAI收割
来源:高能物理研究所
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