The medical CT sequence images dopes noise for various reasons.Denoising can effectively improve image quality.The common algorithms are used for single image,while the CT sequence images have high similarity between adjacent images.Therefore,this paper proposes a hybrid denoising algorithm based on the structural similarity.Firstly,a histogram is drawn according to the maximum and minimum gray value.Secondly,relevant threshold parameters are set to calculate the window width and window level,and then conduct window adjustment.Thirdly,the structural similarity of the target image and its adjacent images are calculated.Finally,BM3D and Gaussian filtering algorithms are mixed for three images according to structural similarity.Experimental results show that the algorithm can improve the mean square error,peak signal-to-noise ratio and structural similarity,which effectively improves the image quality.
medical CT sequence imagesstructural similarityhybrid denoising algorithmhistogramwindow adjustment
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