J4 ›› 2013, Vol. 51 ›› Issue (02): 285-288.

• 计算机科学 • 上一篇    下一篇

一种基于显著性的多尺度图像融合模型

李蕴奇   

  1. 吉林省经济信息中心, 长春 130061
  • 收稿日期:2012-04-17 出版日期:2013-03-26 发布日期:2013-03-27
  • 通讯作者: 李蕴奇 E-mail:li_yunqi@sina.com

A SaliencyBased Multiscale Image Fusion Model

LI Yunqi   

  1. Economic Information Center of Jilin Province, Changchun 130061, China
  • Received:2012-04-17 Online:2013-03-26 Published:2013-03-27
  • Contact: LI Yunqi E-mail:li_yunqi@sina.com

摘要:

提出一种基于显著性的多尺度图像融合模型. 先利用轮廓波变换将输入图像分解成子图序列, 然后计算每幅子图像的区域显著性, 并选取显著性大的参数作为最终融合参数, 最后通过反变换获得融合图像, 图像的显著性通过谱冗余法获得. 实验结果表明, 该方法较传统方法融合效果更好.

关键词: 图像融合, 显著性, 轮廓波变换, 谱冗余

Abstract:

This paper presents a multiscale saliencybased image fusion model. First, the source images were decomposed into subimage sets by contourlet transform,  then  the saliency of each piece of subimage was calculated  and  the coefficients were selected by maximizing saliency, and finally, the fused image was obtained by inversing contourlet transform. The saliency of the image was  calculated by spectral residual theory. Experimental results  show that the proposed model outperforms traditional models.

Key words: image fusion, saliency, contourlet transform, spectral residual

中图分类号: 

  • TP391