一种基于细节特征的MCA多聚焦图像融合方法

针对多聚焦图像的特点,提出一种形态分量分析分解下的基于细节特征的图像融合方法。该方法首先将原图像分解成光滑部分和纹理部分。其次,为了充分体现多聚焦的纹理特征,在光滑部分采用微分算子定义的细节特征作为融合规则。最后,在纹理部分采用选择绝对值作为纹理部分的活跃程度的度量,绝对值最大法作为其融合规则。实验结果表明,该算法得到的融合图像优于其他多聚焦融合的算法。

A Multi-focus Image Fusion Method Based on Detail Feature in Morphological Component Analysis

According to the characteristic of multi-focus images, a fusion method based on detail feature analysis was presented in morphological component analysis. In this method, source images were separated into cartoon and texture components firstly. In order to embody the feature of the multi-focus image fully, the cartoon components were fused with a rule of the detail feature which was defined by using differential operators secondly. Finally, The absolute value was used to measure the activity level of the texture components, so the texture components were fused with a rule of maximum absolute value. The experimental results show that the proposed algorithm outperforms other approaches.