水下模糊图象维纳滤波和卡尔曼滤波恢复算法研究  

Research of Image Restoration in Seawater Using Wiener and Kalman Filter

作　　者：于亦凡[1] 丁田夫[2] 

机构地区：[1]海军潜艇学院,青岛266071 [2]青岛海洋大学海洋遥感研究所,海洋遥感教育部重点实验室,青岛266003

出　　处：《青岛海洋大学学报（自然科学版）》2002年第3期482-488,共7页Journal of Ocean University of Qingdao

基　　金：国家 8 6 3-81 8-0 5专题"海面和海水层光学测量技术"资助

摘　　要：该文将海水中图象传输特性的研究与用此传输特性进行水下模糊图象恢复结合起来 ,得到一套测量水体传递函数及进行水下图象处理的方法。采用维纳 (Wiener)滤波和卡尔曼 (Kalman)滤波算法 ,对模糊图象进了恢复。结果表明 ,利用计算机采用一定的算法对散射性质已知的水体造成的图象模糊可以进行有效的复原 ,且良好效果。The theory of light and image transmission in seawater with the research of underwater blurry images restoration are combined and obtain a convenient method to measure the spread function of seawater and process underwater images. The underwater images are obtained with a set of complicated techniques and seldom concern with the image processing technique. The underwater blurry images based on the measured MTF by using the Wiener filter and Kalman filter are restored and the results are satisfi ctory. The blurry image using directly inverse filter and Butterworth filter are also restored. By comparing the results of these methods, the Wiener filter and Kalman filter are proved to be suitable for restoration of the underwater blurry images. Thus, by using appropriate ways, the validity of restoration of the blurry images in scattering seawater is shown. These two methods can be used to get clear images in underwater condition

关 键 词：点扩展函数 水下图象 维纳滤波 卡尔曼滤波 水下成像 

分 类 号：P715.5[天文地球—海洋科学] TN911.73[电子电信—通信与信息系统]