结合结构张量和Wiener滤波的图像去噪算法

利用图像的结构张量表示的局部结构信息，结合Wiener滤波给出了一种图像去噪算法，并采用了加性算子分解格式求解非线性扩散方程以提高计算效率。实验结果表明，该算法在去除噪声的同时很好地保持了图像中的强弱边界等细节特征，去噪后的图像在峰值信噪比和主观视觉效果上都有显著提高。

An Anisotropic Wiener Denoising Algorithm Based on Structure Tensor

An improved Wiener denoising algorithm is proposed by combining structure tensor of image together with Wiener filtering, which is data-adaptive and thus can better preserve boundaries and reduce structure deloealization. An additive operator splitting scheme is applied in solving the nonlinear diffusion equation to improve computation efficiency. The experimental results show that the peak signal-to-noise ratio of the denoised image is improved via the proposed algorithm, as well as the visual effect.