计算机科学
Python(编程语言)
计算机视觉
断层摄影术
人工智能
相位恢复
光学
图像处理
图像质量
计算机图形学(图像)
算法
物理
图像(数学)
傅里叶变换
量子力学
操作系统
作者
Nghia T. Vo,Robert C. Atwood,Michael Drakopoulos
出处
期刊:Optics Express
[The Optical Society]
日期:2018-10-17
卷期号:26 (22): 28396-28396
被引量:89
摘要
Synchrotron-based X-ray micro-tomography systems often suffer severe ring artifacts in reconstructed images. In sinograms the artifacts appear as straight lines or stripe artifacts. These artifacts are caused by the irregular response of a detecting system giving rise to a variety of observed types of stripes: full stripes, partial stripes, fluctuating stripes, and unresponsive stripes. The use of pre-processing techniques such as distortion correction or phase retrieval blurs and enlarges these stripes. It is impossible for a single approach to remove all types of stripe artifacts. Here, we propose three techniques for tackling all of them. The proposed techniques are easy to implement; do not generate extra stripe artifacts and void-center artifacts; and give superior quality on challenging data sets and in comparison with other techniques. Implementations in Python and a challenging data set are available for download.
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