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本文介绍利用一种新颖的二维自适应滤波算法增强噪声图象中小空间范围的二维信号所获得的结果。该算法称为二维自适应相关增强器(2DACE),是一种系数修正方法,能收敛于所研究的信号或特征的二维自相关函数,并将结果与用二维LMS算法所处理的图象进行对比。
This paper presents the results obtained by using a novel two-dimensional adaptive filtering algorithm to enhance two-dimensional signals in a small space of a noisy image. The algorithm, referred to as 2D Adaptive Correlation Enhancer (2DACE), is a method of coefficient correction that converges to the two-dimensional autocorrelation function of the signal or feature under study and compares the result with the 2D LMS algorithm Image contrast.