图像的复扩散是图像增强的一种有效方法。
The conventional complex diffusion algorithm uses the iterative imaginary part(Laplacian of the Gaussian kernel) to control the diffusion process.
基于模拟数据的实验结果表明，在信噪比低的情况下复扩散滤波器具有更好的消除赖斯噪声的效果。
The experiment results acquired from synthetic analog data proves better performance of the presented filter in eliminating the Rician noise at low level SNR.
对线性复扩散去噪算法进行改进，提出了非线性复扩散图像去噪算法，构造了新的非线性复扩散系数。
To improve linear complex diffusion algorithm for image denoising, a new linear complex diffusion algorithm is put forward.
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