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一种复合各向异性扩散的图像去噪算法
Algorithm Based on Compound Anisotropic Diffusion for Image Denoising
【摘要】 本文提出一种复合各向异性扩散滤波算法,将降斑各向异性扩散(Speckle reducing anisotropic diffusion,SRAD)模型中对边缘敏感的瞬态系数(Instantaneuos coefficient of variation,ICOV)算子运用到了非线性相干扩散(Nonlinear coherent diffusion,NCD)相干模型中,并基于统计学提出ICOV算子的相关系数矩阵对图像的相关度进行度量,系数矩阵的值是每个ICOV算子与其所在行与列的相关度,此相关度的值在边缘附近会取到极大值,这个对图像的边缘检测有很好的度量,根据每个像素与其周围像素的相关度对边缘附近的扩散的强度进行修改,对图像进行更为之有效、更准确的非线性去噪与边缘加强。实验结果表明,与其他各向异性算法相比,本算法可获得更好的性能指标,具有更好的去噪效果和保留边缘功能。
【Abstract】 A compound anisotropic diffusion filter algorithm is presented to apply edge sensitive instantaneuos coefficient of variation(ICOV)operator of the speckle reducing anisotropic diffusion(SRAD)model into the NCD model.The correlation coefficient matrix of ICOV operator which can measure the correlation of the image is proposed.The value of the coefficient matrix gets the maximum value in the vicinity of the edge.According to the correlation coefficient of the ICOV operator,This paper modifies the intensity of the diffusion and obtains effective nonlinear denoising.Compared with other algorithms,the experiment results show that the proposed algorithm has better effect in smoothing and edge preservation.
【Key words】 speckle reducing anisotropic diffusion(SRAD); nonlinear coherent diffusion(NCD); anisotropic diffusion; denoising;
- 【文献出处】 数据采集与处理 ,Journal of Data Acquisition and Processing , 编辑部邮箱 ,2014年05期
- 【分类号】TP391.41
- 【被引频次】12
- 【下载频次】128