基于分形特征和平均梯度的多聚焦图像融合  

Fusion of Multi-focus Images Based on a Combination of the Weighting Fractal Features and Average Gradient

作　　者：那彦[1] 邓昆明 

机构地区：[1]西安电子科技大学电子工程学院,陕西西安710071

出　　处：《电子科技》2015年第6期68-71,共4页Electronic Science and Technology

摘　　要：研究了基于分形特征和平均梯度组合加权的多聚焦图像融合方法。针对单一特征只能表达图像的部分属性,难以得到理想融合结果的问题,在多尺度变换的基础上,提出了基于分形特征和平均梯度组合加权的图像融合算法。对多聚焦图像进行了融合处理,实验结果表明,该算法优于一些基于单特征的融合算法,进一步提高了融合图像的质量。The fusion algorithm of multi-focus images based on combination the weighting fractal features and average gradient is researched. With only some of the properties of the image expressed by a single feature, it is difficult to obtain the ideal fusion results. Based on the multi-scale transformation, the fusion algorithm under the combination the weighting fractal features and average gradient is put forward. Experiments on the fusion for the multi-focus images show that this algorithm is superior to some fusion algorithms relying on the single feature, with better quality of the fused image.

关 键 词：图像融合 分形特征 平均梯度 多聚焦图像 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]