空间观测图像宇宙线噪声去除算法

Cosmic Ray Rejection Algorithm for Space Observation Image

空间观测图像容易受到宇宙线噪声的干扰。本文提出一种空间观测图像宇宙线噪声去除算法。首先利用Top-hat变换抑制观测图像的杂散光,处理之后的观测图像背景均匀,直方图的近Gaussian形状得以恢复。然后利用形态学运算和中值滤波相结合的方法排除高亮过饱和恒星的干扰。最后利用Laplacians边缘检测算法检测宇宙线噪声像素,并利用邻域最小值滤波的方法对宇宙线像素的灰度值进行插值处理。实验结果表明,本文方法在不产生误检测的前提下,检测概率超过90%,综合性能优于本文中提到的其它三种宇宙线噪声去除方法。

Space observation image is easy to be interfered by cosmic rays. A rejection algorithm of cosmic ray in space observation image is presented. Firstly, the stray light is calibrated in observation image by Top-hat transform. After processing, the image background is uniform, and the histogram shape recovered nearly Gaussian. Then, a combination of morphological operations and median filter is used to eliminate the interference from bright saturated stars. Finally, the Laplacians edge detection algorithm is used to detect cosmic noise pixel, and the neighborhood minimum filtering method is used for cosmic ray pixel interpolation. The experimental results show that, the algorithm is superior to other algorithms in two aspects of the detection and false detection probability.