Computer Science ›› 2019, Vol. 46 ›› Issue (6): 270-276.doi: 10.11896/j.issn.1002-137X.2019.06.040

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Image Fusion Method Based on àtrous-NSCT Transform and Region Characteristic

CAO Yi-qin, CAO Ting, HUANG Xiao-sheng   

  1. (College of Software,East China Jiaotong University,Nanchang 330013,China)
  • Received:2018-05-10 Published:2019-06-24

Abstract: Aiming at the advantages and disadvantages of two kinds of multi-scale transforms of àtrous wavelet transform and NSCT,through introducing àtrous-NSCT transform tool,this paper proposed an image fusion method based on àtrous-NSCT transform and region characteristics.This method regards the regional average gradient as the activity measure,and makes use of the fusion method with large coefficient to complete the low-frequency sub-band image fusion.Then,it utilizes the fusion method based on adaptive model with regional variance weighting for high-frequency sub-band images to complete the fusion,thus obtaining the final fusion results through àtrous inverse transform process.In the experiment,the proposed method was compared with other five multi-scale fusion methods.The experimental results show that the fusion results obtained by the proposed method are significantly improved in both subjective vision and objective evaluation as the number of decomposition layers of the new multi-scale transformation is 4.

Key words: Activity measure, àtrous-NSCT transform, Regional average gradient, Regional variance weighting

CLC Number: 

  • TP391
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