| 论文标题 |
Obtaining point spread function of penumbral encoding aperture with “expectation maximization” algorithm based on matched source-image pair experiment |
| 作者 |
Y.L. Wu,H.S. Hu+,T.K. Zhang,Z.H. Li,et al |
| 发表/完成日期 |
2010-02-20 |
| 期刊名称 |
Review of Scientific Instruments (RSI) |
| 期卷 |
vol.81,no.053502 |
| 相关文章 |
the page 1 of proof file.ppt
Obtaining point spread function of penumbral encoding aperture.doc
|
| 论文简介 |
ABSTRACT: A source penumbral image reconstruction method with Linear Mapping Principle for geometrical optics is established. The ideal binary Point Spread Function (PSF) can be obtained using a geometrical optics model. The system PSF with certain sharpness was obtained using a Monte Carlo (MC) model. Considering other factors besides the transportation of the X (γ)-rays or particles (fusion neutrons) in the penumbral encoding aperture in MC model, such as the scattering background and the systematic error, the PSF from MC model 'Source image pair matching' experiments with a large area standard oval shape source were processed. A method for correcting and calibrating the PSF by the Expectation Maximization (EM) adaptive algorithm was established, and the optimized PSF with 22.30μm sharpness was achieved. This is more consistent with the real system PSF despite the increased noise level of the two-dimensional (2D) PSF and large irregularity in the PSF's profile.
KEYWORDS: Point Spread Function, Monte Carlo Simulation, Penumbra Imaging, EM Adaptive Deconvolution
* Supported by Natural Science Foundation of China 10576022 and 10975113.
+ Corresponding author: huasi_hu@mai.xjtu.edu.cn |
(创新港)
