基于清晰度和非下采样多聚焦图像融合  

Multi-focus Image Fusion Based on Definition and Nonsubsamping

作　　者：丁莉[1,2] 韩崇昭[1] 

机构地区：[1]西安交通大学电信学院,西安710049 [2]西安建筑科技大学信息与控制工程学院,西安710055

出　　处：《计算机工程》2010年第11期212-214,共3页Computer Engineering

基　　金：国家"973"计划基金资助项目(2007CB311006)

摘　　要：根据多聚焦图像的特点提出一种基于清晰度的NSCT图像融合算法。在清晰的区域,低频系数和高频系数全部采用清晰区域的系数,而从清晰到模糊过渡的区域,低频系数则取区域方差值最大,高频子带系数取区域能量值最大。该算法与梯度金字塔算法、小波融合算法和Contourlet融合算法进行比较,实验结果证明该方法融合后的图像与源图像具有最小均方差。The paper proposes an algorithm based on definition and NSCT in multi-focus image fusion. The coefficient of definition area is still adopted as fusion coefficient. In area from definition to blur, regional variance is adopted in low-frequency image, and maximum local energy is adopted in high-frequents subbands. Experimental results show that the proposed method has smallest mean square error compared with gradient pyramid algorithm, wavelet fusion algorithm and Contourlet fusion algorithm.

关 键 词：非下采样CONTOURLET变换 清晰度 多聚焦图像融合 

分 类 号：TN911.73[电子电信—通信与信息系统]