一种新的混合震动滤波和各向异性扩散的图像增强和去噪方法研究

针对传统震动滤波和各向异性扩散混合模型存在缺点,提出了一种新的图像增强和去噪方法。该方法将改进的震动滤波项和图像细节保真项同时引入增强和去噪方程,使其根据图像结构信息产生相应变化幅度。通过实验表明,本文提出的方法达到较理想的增强和去噪效果,使得生物医学图像不仅具有很好的平滑效果,而且增强了边缘,同时保留了尽可能多的图像结构和细节信息,并且还很大程度上缩短了计算时间。

A New Study on Coupling with Shock Filters and Anisotropic Diffusion for Image Enhancement and Denoising

A new method based image enhancement and denoising method is presented in this work.Aimed at the disadvantages existing in traditional method coupled with shock filters and anisotropic diffusion,a new improved shock filters term and a new fidelity term,which are generated adaptive magnitude from image structural information,are proposed for the biomedicine image enhancement and denoising.Experimental results showed that the effectiveness for biomedicine image enhancement and denoising with our method is better.The method can not only well restrain noise but also enhance edge and keep much more structural information and detail information of an image,and the computed time of this algorithm is greatly shortened.