天文观测CCD相机中Smear效应的消除

摘要

On the basis of the mechanism of Smear effect and the image characteristics of a frame transfer CCD camera, a Smear removal algorithm which is based on the high precision background estimation is proposed. It can be applied to not only a single picture, but also sequences for imaging systems. This method firstly uses a statistic method to analyze the gray distribution of an original image to get the specific location of Smear effect automatically, then it takes Alpha-trimmed Mean Filter (ATMF) to estimate the intensity of the Smear effect exactly. Finally the difference way is used to e-liminate the Smear effect. Experimental results show that this method can effectively eliminate the single or multi-Smear effects, and can ultimately improve the image quality. The proposed method meets the requirements of astronomic observing cameras for Smear removal.%为了有效消除帧转移型相机的Smear效应,针对其成像机理及特性,提出了一种基于背景估计的适用于序列图像中Smear效应的消除方法.该方法通过对含有Smear效应的原始图像灰度分布进行统计分析,自适应判定Smear效应的发生位置；然后,采用截尾均值滤波(ATMF)技术高精度估计Smear效应的强度；最后,通过差分的方式消除Smear效应.实验结果表明,该方法在有效保留弱小目标和背景信息的基础上,可较好地消除图像中的单个或多个Smear效应,提高了图像的视觉质量,基本满足天文观测相机的观测要求.