Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (7): 158-161.DOI: 10.3778/j.issn.1002-8331.2010.07.048

• 图形、图像、模式识别 • Previous Articles     Next Articles

Improved multi-focus fusion method based on morphological wavelets

QIAN Yong-hao1,2,WU Xiao-jun1,LUO Xiao-qing1   

  1. 1.Information School,Jiangnan University,Wuxi,Jiangsu 214122,China
    2.Creative Digital Media Center,Jiangnan University,Wuxi,Jiangsu 214122,China
  • Received:2008-09-05 Revised:2008-11-28 Online:2010-03-01 Published:2010-03-01
  • Contact: QIAN Yong-hao

改进的基于形态学小波多聚焦图像融合方法

钱永浩1,2,吴小俊1,罗晓清1   

  1. 1.江南大学 信息工程学院,江苏 无锡 214122
    2.江南大学 数字媒体创意中心,江苏 无锡 214122
  • 通讯作者: 钱永浩

Abstract: This paper presents an improved multi-focus image fusion algorithm using morphological wavelets.There exists gray-value underflow in the synthesis process in [1],so a check-refusion new scheme is proposed to solve this problem.The fusion experiments indicate the proposed fusion scheme is superior to the traditional fusion based on the morphological wavelet.

Key words: morphological wavelets, gray-value underflow, multi-focus image fusion, multi-resolution analysis

摘要: 提出了一种改进的形态学小波多聚焦图像融合算法。针对文献[1]基于形态学小波多聚焦图像融合方法在重构过程中存在灰度值下溢的缺点,提出了一种检测-重融合的新方法。融合试验表明,该方法优于传统的形态学小波融合方法。

关键词: 形态学小波, 灰度值下溢, 多聚焦图像融合, 多分辨率分析

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