针对双边滤波去噪时将像素亮度差别大的噪声边界当成图像边缘保留的问题，提出了双边张量滤波算法，该算法在双边滤波的基础上，利用图像的局部结构各向异性程度和像素亮度相似度，自适应地构造图像结构保留函数，将该函数取代双边滤波的边缘保留项，使滤波器在边缘区域沿着平行于局部结构的方向滤波而在平缓区域近似退化为各项同性滤波，保护图像结构信息的同时抑制了噪声。实验结果表明：该算法明显改进了滤波图像质量，且具有更强的保护图像边缘细节的能力。

Aiming to solve the problem that bilateral filter preserves noise boundaries which have large intensity difference as strong edges, Bilateral Tensor Filter (BTF) was presented. Based on bilateral filter, the structure preserving function was constructed self-adaptively by local structure anisotropic similarity and photometric similarity, which filter the image along the direction of the local structure around the edge and turn into approximate isotropic around the flat area in the presence of strong noise. By substituting this structure preserving function for edge preserving function, the structure information was preserved while the noise was suppressed. Experiment results demonstrate that our bilateral tensor filtering algorithm substantially improves the quality of the filtered images and possesses a stronger edge preserving ability.