基于分块过完备稀疏表示的多聚焦图像融合  

Multi-focus Image Fusion Based on Blocked Sparse Representation

作　　者：陈垚佳[1] 张永平[2] 田建艳[1] 

机构地区：[1]太原理工大学信息工程学院,山西太原030024 [2]宁波工程学院电子与信息工程学院,浙江宁波315211

出　　处：《电视技术》2012年第13期48-51,63,共5页Video Engineering

摘　　要：提出一种基于分块过完备稀疏表示的多聚焦图像融合算法。该方法将多聚焦源图像对应分块,采用稀疏模型进行分解,得到每个块的稀疏表示系数。考虑到稀疏系数向量的l1范数越大,带的信息量就越多,采用此因子对稀疏系数加权,求得融合系数,结合过完备字典重构融合图像。实验结果表明该图像融合方法取得较好的融合效果且优于传统小波分解融合方法。同时探讨了字典维数对所提出方法的影响。A multi-focus image fusion scheme based on blocked sparse representation is presented in the paper. Firstly, the original images are divided into patches and then sparsely represented with learned dictionaries. Secondly, the coefficients are fused using the weighted average rules in which the weighted factors are calculated with l1 norm of the sparse coefficient vector. Finally, the fused image is constructed by the fused coefficients with the learned dictionary. The experiments show that the fusion algorithm is effective and superior to the traditional method based wavelet decomposition. Mean- while we have discussed the effects the over-complete dictionary has taken to the quality of the final fusion image.

关 键 词：稀疏表示 过完备字典 多聚焦图像 融合规则 

分 类 号：TN911.73[电子电信—通信与信息系统] TP317.4[电子电信—信息与通信工程]