• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2010, Vol. 32 ›› Issue (11): 71-74.doi: 10.3969/j.issn.1007130X.2010.

• 论文 • 上一篇    下一篇

基于非下采样Contourlet变换多聚焦图像融合

周爱平,梁久祯   

  1. (江南大学信息工程学院,江苏 无锡 214122)
  • 收稿日期:2010-06-03 修回日期:2010-09-19 出版日期:2010-11-25 发布日期:2010-11-25
  • 通讯作者: 周爱平
  • 作者简介:周爱平(1982),男,江苏泰州人,硕士,研究方向为图像处理和信息融合;梁久祯,博士,教授,研究方向为智能信息处理与模式识别、图像处理。
  • 基金资助:
    江苏省自然科学基金资助项目(BK20080544)

Fusion of the Multifocus Images Based on the Nonsubsampled Contourlet Transform

ZHOU Aiping,LIANG Jiuzhen   

  1. (School of Information Engineering,Jiangnan University,Wuxi 214122,China)
  • Received:2010-06-03 Revised:2010-09-19 Online:2010-11-25 Published:2010-11-25

摘要: 针对同一场景多聚焦图像的融合问题,本文提出了一种基于非下采样Contourlet变换(NSCT)多聚焦图像融合算法。首先,采用NSCT对源图像进行多尺度、多方向分解,得到低频子带系数和各带通方向子带系数;其后,针对低频子带系数的选择,提出了一种基于方向向量模和加权平均相结合的融合规则;然后,针对带通方向子带系数的选择,提出了一种基于改进的方向对比度和局部区域能量相结合的融合规则;最后,经NSCT逆变换得到融合图像。实验结果表明,该算法能够有效地保留源图像的有用信息,避免噪声、虚影等效应,是一种有效可行的图像融合算法。

关键词: 图像融合, 非下采样Contourlet变换, 融合规则, 方向向量模, 方向对比度

Abstract: For the fusion problem of the multifocus images with the same scene, a novel multifocus image fusion algorithm based on the nonsubsampled contourlet transform (NSCT) is proposed. Firstly, source images are decomposed at different scales and directions by NSCT, thus the low frequency subband coefficients and various bandpass directional subband coefficients are obtained. Secondly, for the low frequency subband coefficients, we present a fusion rule based on the directional vector normal combined with the weighted average; while for the bandpass directional subband coefficients, we present a fusion rule based on the improved directional contrast combined with the local area energy. Finally, the fusion image is obtained through the inverse NSCT. The experimental results illustrate that the proposed algorithm is effective for retaining the original images’ information and avoiding artifacts.

Key words: image fusion;nonsubsampled Contourlet transform;fusion rule;directional vector normal;directional contrast