Multifocus Image Fusion Based on Multiwavelet and Immune Clonal Selection

  • Xiaohui Yang
  • Licheng Jiao
  • Yutao Qi
  • Haiyan Jin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4222)


Based on multiwavelet transform and the clonal selection theory in the natural immune system, a novel pixel-level multifocus image fusion optimization algorithm is presented in this paper. Source images are first decomposed into low-frequency coarse information and high-frequency detail information via discrete multiwavelet transform. The high-frequency detail information adopts the absolute-values maximum selection. And then the immune clonal selection is introduced to optimize the weights of fusing the low-frequency four coarse subbands adaptively and separately. Image fusion performances of Daubechies-4 (Db4) scalar wavelet, Geronimo, Hardin and Massopust (GHM) multiwavelets and Chui and Lian (CL) multiwavelets are compared quantitatively, which have the same approximation order. Experimental results show that the proposed image fusion algorithm have clear edges, abundance details and few artificial artifacts.


Image Fusion Source Image Fusion Rule Artificial Immune System Fusion Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Nunez, J., Otazu, X., Fors, O., Prades, A., Pala, V., Arbiol, R.: Multiresolution based image fusion with additive wavelets decomposition. IEEE Trans. Geosci. Remote Sensing 37, 1204–1211 (1999)CrossRefGoogle Scholar
  2. 2.
    Zhang, Z., Blum, R.S.: A categorization of multiscale decomposition-based image fusion schemes with a performance study for a digital camera application. Proceedings of the IEEE 87, 1315–1326 (1999)CrossRefGoogle Scholar
  3. 3.
    Kazemi, K., Moghaddam, H.A.: Fusion of multifocus images using discrete multiwavelet transform. In: IEEE Conf. on Multisensor Fusion and Int. for Int. Systems, pp. 167–172 (2003)Google Scholar
  4. 4.
    Salesnick, I.: Multiwavelet bases with extra approximation properties. IEEE Trans. on Signal Processing 46, 2898–2908 (1998)CrossRefGoogle Scholar
  5. 5.
    Strela, V.: Multiwavelets: Theory and Applications. Ph.D Thesis, MIT (1996)Google Scholar
  6. 6.
    De Castro, L.N., Von Zuben, F.J.: The Clonal Selection Algorithm with Engineering Applications. In: Proc. of GECCO 2000, Workshop on Artificial Immune Systems and Their Applications, pp. 36–37 (2000)Google Scholar
  7. 7.
    Liu, R.C., Du, H.F., Jiao, L.C.: Immunity clonal strategies. In: Proc of ICCIMA 2003. The Fifth International Conference on Computational Intelligence and Multimedia Applications (2003)Google Scholar
  8. 8.
    Geromino, J.S., Hardin, D.P., Massopust, P.R.: Fractal functions and wavelet expansions based on several scaling functions. J. Approx. Theory 78, 373–401 (1994)CrossRefMathSciNetGoogle Scholar
  9. 9.
    Donovan, G., Geromino, J.S., Hardin, D.P., Massopust, P.R.: Construction of orthogonal wavelrts using fraction interpolation functions. SIAM J. Math. Anal. 27, 1158–1192 (1996)MATHCrossRefMathSciNetGoogle Scholar
  10. 10.
    Chui, C.K., Lian, J.A.: A study of orthonormal multiwavelets. Applied Numerical Mathematics 20, 273–298 (1996)MATHCrossRefMathSciNetGoogle Scholar
  11. 11.
    Mallat, S.: A theory for multiresolution signal decomposition: wavelet representation. IEEE Trans. Pattern Anal. Machine Intell. 11, 674–693 (1989)MATHCrossRefGoogle Scholar
  12. 12.
    Strela, V., Heller, P.N., Strang, G., Topiwala, P., Heil, C.: The application of multiwavelet filterbanks to image processing. IEEE Trans. on Image Processing 8, 548–563 (1999)CrossRefGoogle Scholar
  13. 13.
    Attakitmongcol, K., Hardin, D.P., Wilkes, D.M.: Multiwavelet Prefilters-Part II: Optimal Orthogonal Prefilters. IEEE Trans. on Image Processing 10, 1476–1487 (2001)MATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Xiaohui Yang
    • 1
  • Licheng Jiao
    • 1
  • Yutao Qi
    • 1
  • Haiyan Jin
    • 1
  1. 1.Institute of Intelligence Information ProcessingXi’dian UniversityXi’an

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