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Multi-focus image fusion algorithm based on focus detection in spatial and NSCT domain

机译:基于空间和NSCT域中焦点检测的多焦点图像融合算法

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摘要

Multi-focus image fusion is an effective approach to obtain the all-in-focus image. Focus detection is the key issue of multi-focus image fusion. Aiming at the shortcoming of spatial domain and transform domain algorithms for multi-focus image fusion, a novel multi-focus image fusion algorithm is proposed by combing focus detection in spatial domain and non-subsampled contourlet transform (NSCT) domain. At first, the focused pixels are detected by the sum-modified-Laplacian algorithm in spatial domain. At the same time, the focus detection method is proposed in NSCT domain, namely by MPCNN and voting fusion methods for high-frequency subbands of NSCT. Then, the morphological operation is utilized to correct the focus detection results in spatial domain and NSCT domain. At last, synthesis of detection results is implemented and the fused image can be obtained. Experimental results verified that the proposed algorithm outperformed some state-of-the-art fusion algorithms in terms of both subjective observation and objective evaluations.
机译:多焦点图像融合是获得全焦点图像的有效方法。焦点检测是多焦点图像融合的关键问题。针对空间域和变换域算法在多焦点图像融合中的不足,提出了一种将空间域中的焦点检测与非下采样轮廓波变换(NSCT)域相结合的新型多焦点图像融合算法。首先,通过空间域中的和-修正-拉普拉斯算法检测聚焦像素。同时,提出了NSCT领域的焦点检测方法,即通过MPCNN和NSCT高频子带的表决融合方法。然后,利用形态学运算对空间域和NSCT域中的焦点检测结果进行校正。最后,对检测结果进行综合,得到融合图像。实验结果证明,在主观观察和客观评估方面,该算法均优于某些先进的融合算法。

著录项

  • 期刊名称 PLoS Clinical Trials
  • 作者

    Hongmei Wang;

  • 作者单位
  • 年(卷),期 2012(13),9
  • 年度 2012
  • 页码 e0204225
  • 总页数 15
  • 原文格式 PDF
  • 正文语种
  • 中图分类
  • 关键词

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