Electronics, Communication & Automation Technology

An Image Fusion Algorithm Based on Threshold-Improved Contourlet Transform

Expand
  • 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
吴鹏(1980-) ,男,博士,副教授,主要从事图像处理研究.E-mail:79102570@qqcom

Received date: 2016-04-01

  Revised date: 2016-06-13

  Online published: 2016-12-01

Supported by

Supported by the National Natural Science Foundation of China( 31470714)

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.

Cite this article

WU Peng LI Wen-lin QI De-yu SONG Wen-long . An Image Fusion Algorithm Based on Threshold-Improved Contourlet Transform[J]. Journal of South China University of Technology(Natural Science), 2017 , 45(1) : 35 -41,52 . DOI: 10.3969/j.issn.1000-565X.2017.01.005

Outlines

/