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Multi-focus image fusion based on nonsubsampled contourlet transform and residual removal

机译：基于非凹凸轮廓变换的多焦点图像融合及剩余拆卸

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摘要

The goal of multi-focus image fusion is to integrate all focus pixels from the source images into the fused result and simultaneously avoid the introduction of defocused pixels. However, erasing the de-focused pixels of the fused image remains a huge challenge. In this paper, a novel multi-focus image fusion method based on residual removal is proposed, which can effectively bridge the gap between the transform domain and spatial domain based methods. Firstly, a structure tensor based fusion rule in nonsubsampled contourlet transform domain is designed, and the initial fused result is obtained. Meanwhile, a new multi-scale threshold correction focusing detection technique in spatial domain is proposed. In this step, all focusing advantages with different scales and focus reliability are taken into account, and then the incomplete decision maps are produced by the pixels with preponderant focus property. Subsequently, the initial decision maps are constructed by the supplement of a novel third-party focus maps. The residual is generated by the initial differences and the residual decision maps. At last, the final fused image is obtained by the subtraction between the initial fused result and the residual. Experimental results demonstrate that the proposed method outperforms some state-of-the-art methods in both quantitative and qualitative evaluations.
机译：多焦点图像融合的目标是将所有焦点像素从源图像集成到融合结果中，并同时避免引入离焦像素。然而，擦除融合图像的偏心像素仍然是一个巨大的挑战。本文提出了一种基于残差去除的新型多聚焦图像融合方法，其能够有效地弥合基于空间域和空间畴基的间隙。首先，设计了非资金上采样的Contourlet变换域中的基于结构的张解型融合规则，获得了初始融合结果。同时，提出了一种在空间域中的新的多尺度阈值校正聚焦检测技术。在该步骤中，考虑到具有不同尺度和焦点可靠性的所有聚焦优势，然后由具有优势焦点属性的像素产生不完整的决策映射。随后，初始决策映射由新颖的第三方焦点图的补充构成。残余由初始差异和残差决策图产生。最后，通过初始融合结果和残差之间的减法获得最终熔融图像。实验结果表明，所提出的方法在定量和定性评估中优于一些最先进的方法。

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  • 来源
    《Signal processing》 |2021年第7期|108062.1-108062.17|共17页
  • 作者

    Xiaosong Li; Fuqiang Zhou; Haishu Tan; Yuanze Chen; Wangxia Zuo;

  • 作者单位

    Key Laboratory of Precision Opto-mechatronics Technology Ministry of Education Beihang University 100191 China;

    Key Laboratory of Precision Opto-mechatronics Technology Ministry of Education Beihang University 100191 China;

    School of Physics and Optoelectronic Engineering Foshan University Foshan 528000 China Ji Hua Laboratory Foshan 528000 China;

    Key Laboratory of Precision Opto-mechatronics Technology Ministry of Education Beihang University 100191 China;

    Key Laboratory of Precision Opto-mechatronics Technology Ministry of Education Beihang University 100191 China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Multi-focus image fusion; Nonsubsampled contourlet transform; Structure tensor; Residual removal;

    机译：多焦点图像融合;非法采样轮廓变换;结构张量;残余删除;

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