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椒盐图像的方向加权均值滤波算法

DOI: 10.11834/jig.20131103

Keywords: 图像处理,椒盐噪声,均值滤波,中值滤波

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Abstract:

椒盐噪声是造成图像污染的主要因素之一,椒盐去噪是图像去噪领域的研究热点。方向加权中值滤波算法计算噪声点滤波输出时存在一定的问题,比如,未排除近邻噪声点的干扰,对方向的估计不准确,对局部灰度特性刻画不完整等。为此,提出一种方向加权均值滤波算法。先根据方向灰度差异和灰度极值判断检测噪声点,然后根据对局部窗口噪声强度的估计自适应地选择递归或非递归滤波窗口的加权灰度均值作为滤波输出。仿真实验结果表明,本文算法与现有的两种方向加权中值滤波算法相比,峰值信噪比(PSNR)普遍提高了23dB和56dB,噪声密度高时提高的幅度更加明显;速度提高了接近10倍和30倍。

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