关键词: 中值滤波, 均值滤波器, 噪声检测, 图像扩充, 椒盐噪声

Abstract: To deal with the deficiency in terms of de-noising and preserving image details of the adaptive median filter,an improved mean-valued method of adaptive median filtering (IMAMF) is proposed.The algorithm adopts the way of extending edge of the image,so that all the pixels of the original image can be detected by noise detection factor and filtering under the adaptive window.When noise and signal are detected,the noise threshold is increased.If the pixels with noise are corrected,the new average filter value is output.Otherwise,the signal point is output with the original gray value.In order to verify the feasibility of the algorithm,five different algorithms are used for simulation analysis.From the subjective and objective angles of different algorithms for comparative analysis,the experimental results show that the algorithm can not only effectively filter out salt and pepper noise in the range of 10% to 90%,but also can better preserve the details and edge information of the original image.Obviously,the new method has better properties.

Key words: median filter, mean filter, detection of noise, image extension, salt and pepper noise