基于沈峻算子的引导滤波方法研究

Research on guided filtering method based on Shen-Castan operator

针对超声图像附带大量噪声的问题,提出了一种基于沈峻算子(Shen-Castan)的引导滤波方法,采用边缘检测中的沈峻算子对引导滤波进行改进以减少滤波结果中的边缘光晕现象。沈峻算子可以对含噪图像进行边缘检测,将该边缘检测结果与原始图像叠加,获得边缘增强的引导图像,该图像将作为含噪图像的引导图像来进行引导滤波。仿真实验显示,基于沈峻算子的引导滤波方法在保持算法原有平滑降噪功能的基础上,客观评价标准如峰值信噪比与结构相似度也得到了提升。

To address the problem of a large amount of noise attached to the ultrasound image, a guided filtering method based on Shen-Castan operator is proposed. The guided filtering is improved by using the Shen-Castan operator in edge detection to reduce edge halo phenomenon in filtering results. Shen-Castan operator is applied to conduct edge detection on the noisy image. The detection result is superimposed on the original image to obtain an edge enhanced guide image, which will be used as a guided image of the noisy image for guided filtering. The simulation experiment shows that the guided filtering method based on the Shen-Castan operator maintains the original smooth noise reduction function of the algorithm, and the objective evaluation criteria such as peak signal-to-noise ratio and structural similarity are also improved.