【摘要】 以噪声特点和图像结构分析为基础,提出了一种有效的混合噪声滤除算法。算法首先通过极值判断和像素间的相容性检测,分离出脉冲噪声并以中值滤波滤除;然后对含有高斯噪声的图像以模糊滤波算法进行降噪处理。实验结果表明,本算法能有效地滤除图像中脉冲与高斯混合噪声,且较好地保护了图像细节特征。更多还原

【Abstract】 An algorithm for mixed noise filtering is presented based on analysis of noise characters and image structure.First,impulse noise detection is conducted.A pixel is determined as an impulse noise and removed by median filter if it has a minimum or maximum value in the filter window and has poor compatibility with its neighbors.Then a fuzzy filter is adopted to remove Gaussian noise.Experiment results are given at last.The algorithm can remove mixed Gaussian and impulse noise efficiently while protecting image details.更多还原