边缘检测和小波变换在多聚焦图像中的应用

摘要

Uniting the wavelet transformation and the marginal check fusion algorithm may obtain sharp image in the identical scene according to the characteristic of multi-focusing image. First, Laplacian of a Gaussian(LoG) carried on the source image;second, wavelet transformation carried on the source image; finally,it fuses the two images. The simulation testing indicated that the wavelet transformation and the marginal check unifying in multi-focusing image is effective.%根据多聚焦图像的特点,把边缘检测方法和小波变换融合算法结合起来,可以获得同一场景内所有物体都清晰的图像.首先利用高斯—拉普拉斯算子对源图像进行融合,得到边缘清晰的融合图像；接着对源图像进行小波变换,变换后的小波系数融合规则采用选择融合和加权平均融合相结合,经反变换后得到整体清晰的图像；最后将边缘清晰融合图像与小波变换融合图像再一次融合,得到了清晰度增强的融合图像.仿真试验表明,边缘检测和小波变换相结合的融合方法可有效综合多聚焦图像.