编码孔径
工件(错误)
光圈(计算机存储器)
光学
单色
物理
图像分辨率
蒙特卡罗方法
计算机科学
计算机视觉
人工智能
数学
探测器
声学
统计
作者
Tomoaki Kasuga,Hirokazu Odaka,Kosuke Hatauchi,Satoshi Takashima,Tsubasa Tamba,Yuki Aizawa,Soichiro Hashiba,Aya Bamba,Yuanhui Zhou,Toru Tamagawa
标识
DOI:10.1117/1.jatis.6.3.035002
摘要
The coded aperture imaging technique is a useful method of x-ray imaging in observational astrophysics. However, the presence of imaging noise or so-called artifacts in a decoded image is a drawback of this method. We propose a coded aperture imaging method using multiple different random patterns for significantly reducing the image artifacts. This aperture mask contains multiple different patterns each of which generates a different artifact distribution in its decoded image. By summing all decoded images of the different patterns, the artifact distributions are cancelled out, and we obtain a remarkably accurate image. We demonstrate this concept with imaging experiments of a monochromatic 16-keV hard x-ray beam at the synchrotron photon facility SPring-8, using the combination of a complementary metal-oxide-semiconductor image sensor and an aperture mask that has four different random patterns composed of holes with a diameter of 27 μm and a separation of 39 μm. The entire imaging system is installed in a 25-cm-long compact size and achieves an angular resolution of <30 arc sec (full-width at half-maximum). In addition, we show by Monte Carlo simulation that the artifacts can be reduced more effectively if the number of different patterns increases to 8 or 16.
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