图像去噪过程中，为了在有效平滑噪声的同时较好地保护图像的边缘和细节，在Cattle平滑模型基础上，对扩散系数作出改进，提出了更有效的自适应去噪模型。该模型不仅针对不同的梯度大小采用了不同的扩散系数，而且将边缘锐化因子二阶偏导引入到扩散系数中。而在图像质量评判标准中，提出了基于相关系数函数的最佳停止时间评判准则。实验结果表明，改进的模型优于C模型，且能更好地吻合评判准则。%In the process of image denoising, in order to remove noise effectively and preserve edges and key details, the diffu-sion coefficient based on the Cattle model is improved and a more effective adaptive denoising model is proposed. The model can not only adopt different diffusion coefficient according to different sizes of the gradient but also lead the edge sharping fac-tor of second order partial deviation into the diffusion coefficient. The best stop time evaluation criteria based on correlation co-efficient is proposed in the mean time. The experimental results show that the improved model is superior to C model, and can better coincide with the judge standard.
展开▼
