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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

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【作者】 那彦邓昆明

【Author】 NA Yan;DENG Kunming;School of Electronic Engineering,Xidian University;

【机构】 西安电子科技大学电子工程学院

【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。

【Abstract】 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.

  • 【文献出处】 电子科技 ,Electronic Science and Technology , 编辑部邮箱 ,2015年06期
  • 【分类号】TP391.41
  • 【被引频次】4
  • 【下载频次】52
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