基于改进型中值滤波算法的图像去噪

Image denoising based on modified median filter algorithm

去噪算法在图像处理中占有极其重要的地位。为了对含有高斯白噪声和脉冲噪声的图像进行去噪,在小波软阈值去噪算法的基础上,提出一种基于噪声个数判断的改进型中值滤波算法。仿真结果表明,该算法能够同时抑制高斯白噪声和脉冲噪声,可以更好地保留图像的边缘细节,与小波软阈值算法、小波硬阈值算法、中值滤波算法相比,具有更好的去噪性能。

Denoising algorithm is very important in image processing. In order to denoise the image with Gaussian white noise and impulse noise, on the basis of wavelet soft threshold algorithm, a modified median filter algorithm is proposed based on noise number-judgement. The simulation results show that the proposed algorithm can suppress Gaussian white noise and pulse noise simultaneously and retain the edge details of image. The denoising performance is more effective than that of wavelet soft threshold algorithm, wavelet hard threshold algorithm and median filter algorithm.