边缘保护滤波的多焦点图像融合算法  

Multi-focus image fusion algorithm based on edge-preserving filtering

作　　者：康长青[1] 郑毅[1] 刘雨潇[1] 

机构地区：[1]湖北文理学院数学与计算机科学学院,襄阳441053

出　　处：《激光与红外》2013年第7期814-817,共4页Laser & Infrared

基　　金：国家自然科学基金项目(No.20705021);湖北省教育厅科资技术研究项目(No.Q20132607)资助

摘　　要：已有的多焦点图像融合算法要么基于不含噪声的源图像假设,要么进行高频滤波时造成边缘特征的破坏;针对这些不足,提出边缘保护滤波的图像融合算法。首先利用局部细节特征的各向异性,建立了能够同时去噪和融合的能量函数,然后采用多焦点特征加权的融合规则,建立了能量函数的迭代求解策略。实验结果表明,算法的残留噪声更少,结构相似度和视觉融合质量更高。Most multi-focus image fusion algorithms are either based on the assumption that the source images are noise free, or resulting in destroying the fine edge features when filtering in high frequency sub-bands. In order to over- come the disadvantages, a multi-focus image fusion algorithm based on edge-preserving filtering is presented. Firstly, an energy function with denoising and image fusion is set up by using inherently anisotropy of the local fine fea- tures. Then an iterative solution for the energy function is derived via the fusion rule of weighted avera- ging. Experimental results show that the algorithm produces less residual noise and has a higher SSIM and better visual image fusion quality.

关 键 词：多焦点图像融合 边缘保护 能量函数 

分 类 号：TP391.6[自动化与计算机技术—计算机应用技术]