快速滤除脉冲噪声的八向叠加算法

Swift eight-direction adding algorithm to remove impulse noise

分析了当前脉冲噪声消噪的主要方法,提出了一种滤除脉冲噪声的快速算法。其主要思想是利用阈值检测法从输入图像中提取出信号点矩阵,然后对信号点矩阵进行八向叠加,最后对叠加后的信号点矩阵进行两步校正得到滤波结果。该算法的一个主要优势就是基于图像矩阵进行整体操作,利于数据的并行处理,编程简单,实时性强。实验结果表明该算法运行快,对普通密度的脉冲噪声滤除效果明显。

A swift filtering algorithm is proposed after a brief analysis of current methods on impulse noise removal.Its main idea is as follows：first,using a critical region to pick up the uncorrupted pixels to build a matrix of signal.Then,treating the signal matrix with eight-direction adding.A restored one will present itself nearly after two-step-correction of after adding image.As a superiority of macro-processing,this algorithm is easy to program and fit for real-time processing.Experimental results indicate that the proposed algorithm works well in denoising images with a normal noise rate and saves time remarkablely.