使用半高斯核的冲击扩散滤波图像盲复原方法

摘要

提出一种冲击扩散模型对含有模糊与噪声的退化图像进行盲复原。该方法使用半高斯核提取图像边缘的精确方向，并且对不同的图像区域使用不同的冲击扩散策略。实验结果表明，所提出的方法能够有效地消除图像中的噪声并增强边缘，同时能够保存小物体与角落等图像结构。相比于其他方法，所提出方法的复原图像拥有更好的视觉效果与更高图像评价指标。%In this paper, a shock-diffusion model is presented to restore blurred and noisy images. The proposed approach uses a half smoothing kennel to get the precise directions of the edges, and uses different shock-diffusion strategies for different image regions. Experiment results show that the proposed model can effectively eliminate noise and enhance edges while preserving small objects and corners simultaneously. Compared to other methods, the results of the proposed method have better visual appearances and qualitative measurements.