吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (2): 525-530.doi: 10.13229/j.cnki.jdxbgxb201402039

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Multifocus image fusion based on nonsubsampled Bandelet transform

YANG Yang1,2, DAI Ming1, ZHOU Luo-yu1,2, SUN Ming-chao1   

  1. 1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2012-10-29 Online:2014-02-01 Published:2014-02-01

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Abstract:

A novel fusion algorithm based on nonsubsampled Bandelet transform is proposed for the multifocus images of same scene. First, the average image is calculated from the source images, after that the best geometric flow is computed using the wavelet coefficients of the image and a Bandelet basis is constructed. Secondly, the source images are represented using the Bandelet basis, and then the obtained coefficients are fused respectively according to their physical significance. Finally, the fused coefficients are applied on the inverse nonsubsampled Bandelet transform to obtain the fused image. The experiment results indicate that, compared with the fusion methods based on Wavelet transform and nonsubsampled Wavelet transform, respectively, the proposed method can provide better fusion quality in terms of both visual sense and quantified measure.

Key words: information processing technology, image fusion, nonsubsampled Bandelet transform, multiscale analysis

CLC Number: 

  • TP391

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