首先分别讨论了用于图象复原的均值滤波、维纳滤波各自的特点。为进一步提高图象质量,提出了采用基于小波的数据融合技术,通过选择合适的算法进行数据融合以发挥不同滤波器的优势。通过不同滤波方法得到的图像,小波分解后在多个分解层上进行融合,仿真试验结果表明,可以获得视觉效果更佳的融合图像。 First of all, we discussed the characteristics of mean filter and Wiener filter for image restoration respectively. In order to further improve the image quality, a wavelet-based data fusion technique is proposed to take advantage of different filters by selecting suitable algorithms for data fusion. The images obtained by different filtering methods are fused on multiple decomposition layers after wavelet decomposition. The simulation results show that the fused images with better visual effects can be obtained.