摘要
针对多聚焦图像融合问题,提出一种基于低频边缘特征和能量的多聚焦小波图像融合方法.首先对待融合图像进行小波多尺度分解,然后对高频细节分量图像按区域能量最大化原则进行融合,对低频近似分量图像采用能量结合边缘特征的融合方法.试验结果表明,与已有的低频域平均法相比,该方法所得的融合图像能反映更丰富的细节信息,具有更好的视觉效果.
For the problem of multi-focus image fusion, a low-frequency edge-based features and wavelet energy of the multi-focus image fusion method is proposed. Firstly, it decomposes the original images by multi-resolution based on wavelet transform, and then it fuses the high-frequency images based on the local maximum energy principle, and low-frequency fusion is done based on edge features combined with the use of the local energy. Test results show that the algorithm, compared with average algorithm for low-frequency fusion, can preserve richer detail information from primitive images and have better vision effect.
出处
《重庆工学院学报（自然科学版）》
2009年第8期168-171,共4页
Journal of Chongqing Institute of Technology
基金
阿坝师范高等专科学校基金资助项目(网络系统管理专业职业教育培养构建与实践研究)
关键词
图像融合
小波变换
边缘特征
能量
image fusion
wavelet transform
edge feature
energy
