摘要
图像去噪是图像处理中一个非常重要的环节。针对传统中值滤波方法存在的不足,提出一种新的基于噪点检测的自适应中值滤波图像去噪方法。该方法通过自适应地改变滤波窗口的大小,局部检测并判断极值点是否为噪声点,有效地降低了非噪声点误判为噪声点的概率。实验结果表明,该方法能够更有效地去除图像中的噪声,并较好地保持图像细节和边缘。
Noise reduction is one of the most important parts of image processing. Based on the shortcomings of traditional median filtering algorithm, this paper puts forward a new adaptive median filter method based on noise pixel detection. The method detect and judge whether the extreme point is the noise point by adaptive-changing the size and local of the filter window, it reduces the probability of the non-noise point misjudgment into the noise points effectively. The experimental results show that the algorithm can eliminate noise and preserve the details and edge information of the original image effectively.
出处
《微型机与应用》
2015年第5期35-38,共4页
Microcomputer & Its Applications
关键词
图像去噪
中值滤波
噪点检测方法
image denoising
median filter
noise detection method
