中文摘要：

受噪声的影响,图像的局部梯度特征很难被准确地估计,这影响了非线性扩散方法的滤波效果.根据影响视觉效果的2个低层次局部特征——相位一致性和梯度,提出一种各向异性张量扩散模型.首先结合梯度信息提出了极大相位一致性方向投影的散度矩阵;其次构造一种改进的张量扩散模型,并给出了相应的离散差分格式和算法流程.通过数值实验,验证了文中模型在计算效率、客观量化和视觉效果方面的有效性.

英文摘要：

The local gradient features of image can not be well measured due to the exist of noise, which affects the filtering effect of nonlinear diffusion method. Using two low-level local features of phase congruency and gradient, we propose an improved anisotropic tensor diffusion model. Firstly, a scatter matrix is designed by projection on maximum direction of phase congruency. Secondly, a tensor diffusion model is constructed. Further, a finite difference scheme and the algorithm procedure are listed. Finally, numerical experiments illustrate the computational efficiency of proposed model, objective assessment, and visual effect.