基于Contourlet变换多聚焦图像融合方法
DOI:
作者:
作者单位:

北京电子科技职业学院

作者简介:

通讯作者:

基金项目:


A Multi-Focus Image Fusion Algorithm with Contourlet Transform
Author:
Affiliation:

School of Telecommunications Engineering, Beijing Vocational college of Electronic Science Technology

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
    摘要:

    该方法首先提取源图像的亮度分量,采用非下采样Contourlet变换对其进行分解,通过“合成图像像素值取大”准则对高频系数进行处理得到融合决策图,并对其进行一致性校验,最后根据校验后的决策图在RGB空间进行像素点选取,得到融合图像。实验结果表明,本文方法解决了RGB空间融合方法容易导致的颜色失真,同时本方法仅对亮度分量融合,降低运算复杂度。融合图像在保留图像有用信息的同时,弥补了传统空间域方法在细节表现力上的不足,更加符合人类的视觉特征。本文融合方法还用于灰度多聚焦图像融合中,实践证明,融合效果很好。

    Abstract:

    The luminance components of the input color images are processed with nonsubsampled Contourlet transform (NSCT). The decision map is attained by fusing the high frequency coefficients through the scheme of Synthesis Image Coefficient Value Select Maximum (SI-CVSM). Then the decision map is verified by consistency verification and is used to select the RG,B components simultaneously. Experiment results show that the proposed algorithm avoids color distortion caused by fusion algorithms in RGB space model. At the same time this method is only the luminance component integration, thereby reducing the computational complexity. The fused image, which not only retains the important information existing in the input color images, but also improves the detail expression, is more adaptive to the vision of human beings. The integration method is also applied to gray-scale multi-focus image integration in this paper, and the practice shows it is pretty effective.

    参考文献
    相似文献
    引证文献
引用本文

蔡志芳.基于Contourlet变换多聚焦图像融合方法[J].数据采集与处理,2013,28(6):

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
历史
  • 收稿日期:2011-10-19
  • 最后修改日期:2013-11-14
  • 录用日期:2012-07-13
  • 在线发布日期: 2014-01-08