适应中间盐和胡噪声抑制方法用于共同路径连贯分散光谱仪
Shouxin Guan1,2, Bin Liu1,2, Shasha Chen1
1Key Laboratory of Spectral Imaging Technology CAS, Xi'an Institute of Optics and Precision Mechanic of Chinese Academy of Sciences, University of Chinese Academy of Sciences, Xi'an, 710119, China.
Scientific reports
|July 29, 2024
概括
一个新的自适应中间选算法,CODESmF,有效地从系外行星探测仪器图像中去除盐和胡噪声. 这通过保留关键的边缘相位信息,显著提高了辐射速度 (RV) 逆转精度.
科学领域:
- 天文学和天体物理学
- 光学工程是指光学工程.
背景情况:
- 外行星探测依赖于高精度的辐射速度 (RV) 测量.
- 干扰边缘图像对于RV反转至关重要.
- 盐和胡的噪音降低了边缘图像质量和RV精度.
研究的目的:
- 开发一种算法,以消除干扰边缘图像中的盐和胡噪声.
- 为了减少辐射速度 (RV) 在系外行星检测中的错误.
- 为了在边框图像中保存相位信息.
主要方法:
- 设计了一个自适应的中位过算法 (CODESmF),使用子最大值和子最小值的像素值.
- 实施了两个模块系统:噪声监测和自适应中间波器.
- 测试了算法的性能与现有方法对比.
主要成果:
- CODESmF算法有效地消除了干扰边缘图像中的盐和胡噪声.
- 它的性能明显优于可比的降噪算法.
- 通常可以消除90%以上的相位/RV误差,在某些情况下可以减少多达98%的相位误差.
结论:
- CODESmF提高了干扰边缘图像的质量,用于系外行星检测.
- 该算法提高了辐射速度 (RV) 反转的精度.
- 它为天文成像中的降噪提供了强大的解决方案.
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