一种改进的二维卡尔曼窗滤波方法及其在图象恢复中的应用

An Improved 2D Kalman Window Filtering Approach and Its Application in Image Reotoration

本文给出了一种改进的二维卡尔曼窗滤波方法,该方法比标量或向量二维卡尔曼滤波方法有更快的计算速度和需要更小的内存容量,在图象模型选取方面也对Dikshit给出的移动窗法进行了改进,从而使所给滤波方法适用于被更广泛因素模糊的图象之恢复。所给方法特别适于在微型机上实现。文后给出用所给方法进行图象恢复的一个实例。

An Improved 2D Kalman window filtering approach is developedin this paper. This approach has smaller computation and storage requirementsthan scalar and vector Kalman filtering approach. On the other hand. this met-hod gives an improvement for selection of image model to Dikshit's method.Hence. it is widely used in restoration of image that has been degraded by m-ore widespreader factors. Especially. it was very easy for implementation bya-microprocessor system. Finally. an example of application to image restorationwas given.