摘要
基于脉冲噪声的特点提出了一种新的滤波方法——迭代自适应中值滤波方法(Iterative Adaptive Median Filter,IAMF)。本方法根据被脉冲噪声污染的图像的特征,建立相应的权重函数,并结合迭代算法进行噪声消除,处理后的图像不但能够较好地保留细节信息,而且能够保持良好的清晰度。此外,在IAMF滤波过程中,由于噪声点不参与计算,从而有效避免了图像中噪声点对正常像素的影响,同时也提高了运算速度。试验结果进一步证明:当噪声率超过0.5时,该方法的优越性尤为突出,噪声率超过0.9时,图像处理效果仍比较理想。
This paper presents an iterative adaptive median filter （IAMF） approach based on the characteristics of impulse noise. The approach constructs the weight function of an impulse noise contaminated image accot;ding to its characteristics and then eliminates noise with an iterative algorithm. An IAMF processed image can not only reserve the micro information of its original image but also have better definition. Thisapproach effectively avoids the influence of noise dots on the non-noise dots of an image and improves computation speed since those noise dots are not involved the calculation. This approach has a better denoise effect for an impulse noise contaminated image, especially when the noise rate is above 0.5. This approach still has better satisfactory effect when the noise rate is above 0.9.
出处
《山东科学》
CAS
2010年第4期51-55,76,共6页
Shandong Science
基金
山东省自然科学基金项目(Y2008B68)
山东大学科技发展计划项目
山东省科学院博士基金项目
关键词
迭代自适应中值滤波
脉冲噪声
图像处理
iterative adaptive median filter
impulse noise
image processing
