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。

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 eliminate 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.