旋转均值滤波用于提高红外点目标图像信噪比  

Rotating Mean Filter and its Application to the Improvement of the Signal to Noise Ratio of Infrared Point Target Images

作　　者：张世俊[1] 敬忠良[1] 李建勋[1] 

机构地区：[1]上海交通大学航空航天信息与控制研究所电子信息与电气工程学院,上海200030

出　　处：《激光与红外》2004年第5期391-394,共4页Laser & Infrared

基　　金：上海市科技发展基金重点项目(015115038)资助。

摘　　要：当距离红外传感器很远时,目标在红外图像中表现为点目标。充分利用点目标,背景杂波及噪声在空间域中的表现形式,并结合均值滤波滤除噪声的特性,提出了一种新的滤波方法———旋转均值滤波法。将此算法运用在信噪比不大于3的红外点目标图像中,实现了背景抑制,突出目标以及提高信噪比作用,并能够满足实时处理的要求。When a target is far from the imaging sensors, it appears in infrared image as a point. According to filtering noise property of mean filter, a new filter, rotating mean filter (RMF) is proposed by use of the different distribution forms of point target, background clutter and noise in spatial domain. The algorithm is applied to real-world infrared point target images whose signal to noise ratio (SNR) are no more than 3 in the experimental part. Experimental results show that the algorithm performs background suppression, extruding target, improving SNR,and real-time processing requirement is met.

关 键 词：点目标 均值滤波 图像信噪比 红外图像 背景杂波 高信噪比 背景抑制 空间域 算法 旋转 

分 类 号：TN911.73[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]