Journal of South China University of Technology (Natural Science Edition) ›› 2017, Vol. 45 ›› Issue (1): 35-41,52.doi: 10.3969/j.issn.1000-565X.2017.01.005

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

An Image Fusion Algorithm Based on Threshold-Improved Contourlet Transform

WU Peng1 LI Wen-lin1,2 QI De-yu2 SONG Wen-long1   

  1. 1.College of Mechanical and Electrical Engineering,Northeast Forest University,Harbin 150040,Heilongjiang,China; 2.School of Computer Science and Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2016-04-01 Revised:2016-06-13 Online:2017-01-25 Published:2016-12-01
  • Contact: 齐德昱(1959-) ，男，教授，博士生导师，主要从事计算机系统结构、人机交互、图像处理算法优化研究． E-mail:qideyu@scut.edu.cn
  • About author:吴鹏(1980-) ，男，博士，副教授，主要从事图像处理研究．E-mail:79102570@qqcom
  • Supported by:
    Supported by the National Natural Science Foundation of China( 31470714)

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Abstract:

In order to obtain better fusion images,an improved algorithm on the basis of structural similarity ( SSIM) threshold is proposed to determine fusion rules adaptively.In the algorithm,for low frequency sub-bands,a weighting summation fusion algorithm on the basis of correlation coefficient and deviation from mean is adopted to preserve more general information.For high frequency sub-bands,the SSIM of each region of the image to be fused is calculated first and then the corresponding average value is taken as the threshold.Afterwards,a high frequency subband fusion algorithm is selected adaptively according to the relationship between the SSIM of each region and the threshold,so as to retain more detail information.Experimental results show that the improved image fusion algorithm helps achieve the fused images of richer detail,sharper edge and better objective evaluation index of quality.

Key words: image fusion, Contourlet transform, structural similarity