摘要
为了对不同的多聚焦图像进行有效融合,提出了一种小波域中基于区域特征的自适应多聚焦图像融合方法。该方法首先对参加融合的两幅图像进行小波分解,然后针对低频部分,在保留源图像共同特征的基础上,将待融合的两图像各自所具有的特征添加到融合图像中,而对于高频部分,则根据区域的小波能量进行融合;最后通过小波逆变换来重构融合图像。该方法不仅能够完全自适应地对多聚焦图像进行有效的融合,而且对于各种不同的源图像具有通用性。实验表明,该算法能够得到良好的融合效果,是一种有效的多聚焦图像融合方法。
To fuse different multi-focus images effectively, an adaptive fusion method of multi-focus images based on regional features in wavelet domain is proposed. First, images involved in fusion are decomposed by wavelet transform. For the fusion of low frequency coefficient, it adds different feature to the result image based on reserving the common feature of fusing images. High frequency coefficient is fused according to the wavelet energy of its region. Finally, the fused image is reconstructed. This method can not only fuse multi-focus images adaptively, but also have versatility in multi-focus images. The results show that this algorithm has good fusion effects, so it is an effective method in multi-focus images fusion.
出处
《中国图象图形学报》
CSCD
北大核心
2006年第3期353-356,共4页
Journal of Image and Graphics
基金
广东省自然科学基金项目(04010465)
关键词
图像融合
自适应
小波变换
多聚焦
image fusion, adaptive, wavelet transform, multi-focus
