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Block-Matching Based Multifocus Image Fusion

机译：基于块匹配的多焦点图像融合

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摘要

A new multifocus image fusion method is proposed. Two image blocks are selected by sliding the window from the two source images at the same position, discrete cosine transform (DCT) is implemented, respectively, on these two blocks, and the alternating component (AC) energy of these blocks is then calculated to decide which is the well-focused one. In addition, block matching is used to determine a group of image blocks that are all similar to the well-focused reference block. Finally, all the blocks are returned to their original positions through weighted average. The weight is decided with the AC energy of the well-focused block. Experimental results demonstrate that, unlike other spatial methods, the proposed method effectively avoids block artifacts. The proposed method also significantly improves the objective evaluation results, which are obtained by some transform domain methods.
机译：提出了一种新的多焦点图像融合方法。通过在同一位置从两个源图像滑动窗口来选择两个图像块，分别在这两个块上实现离散余弦变换（DCT），然后计算这些块的交流分量（AC）能量确定哪个是重点突出的。另外，块匹配用于确定全部类似于聚焦良好的参考块的一组图像块。最后，所有块通过加权平均返回到其原始位置。权重由聚焦良好的模块的交流能量决定。实验结果表明，与其他空间方法不同，该方法有效地避免了块伪影。所提出的方法还显着改善了通过一些变换域方法获得的客观评估结果。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第9期|405919.1-405919.7|共7页
  • 作者

    Zhu Feng; Hou Yingkun; Yang Jingyu;

  • 作者单位

    Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing 210094, Jiangsu, Peoples R China.;

    Taishan Univ, Sch Informat Sci & Technol, Tai An 271021, Shandong, Peoples R China.;

    Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing 210094, Jiangsu, Peoples R China.;

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