Advertisement

Multifocus Image Fusion Using Local Phase Coherence Measurement

  • Rania Hassen
  • Zhou Wang
  • Magdy Salama
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5627)

Abstract

Image fusion is the task of enhancing the perception of a scene by combining information captured by different imaging sensors. A critical issue in the design of image fusion algorithms is to define activity measures that can evaluate and compare the local information content of multiple images. In doing so, existing methods share a common assumption that high local energy or contrast is a direct indication for local sharpness. In practice, this assumption may not hold, especially when the images are captured using different instrument modalities. Here we propose a complex wavelet transform domain local phase coherence measure to assess local sharpness. A novel image fusion method is then proposed to achieve both maximal contrast and maximal sharpness simultaneously at each spatial location. The proposed method is computationally efficient and robust to noise, which is demonstrated using both synthetic and real images.

Keywords

image fusion local phase coherence local energy complex wavelet transform 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Dubuisson, M., Jain, A.K.: Contour extraction of moving objects in complex outdoor scenes. International Journal of Computer Vision 14, 83–105 (1995)CrossRefGoogle Scholar
  2. 2.
    Nikolov, S.G., Hill, P., Bull, D.R., Canagarajah, C.N.: Wavelets for image fusion. In: Petrosian, A., Meyer, F. (eds.) Wavelets in Signal and Image Analysis, pp. 213–244. Kluwer Academic Publishers, The Netherlands (2001)CrossRefGoogle Scholar
  3. 3.
    Lewis, J.J., O’Callaghan, R.J., Nikolov, S.G., Bull, D.R., Canagarajah, C.N.: Region-based image fusion using complex wavelets. In: Proceedings of the 7th Inter. Conf. Information Fusion, Stockholm, Sweden, pp. 555–562 (2004)Google Scholar
  4. 4.
    Burt, P.J.: The pyramid as structure for efficient computation. In: Rosenfeld, A. (ed.) Multiresolution Image Processing and Analysis, pp. 6–35. Springer, Heidelberg (1984)CrossRefGoogle Scholar
  5. 5.
    Burt, P.J., Lolczynski, R.J.: Enhanced image capture through fusion. In: Proceedings of the Fourth Inter. Conf. Computer Vision, Berlin, Germany, pp. 173–182 (1993)Google Scholar
  6. 6.
    Toet, A., van Ruyven, L.J., Valeton, J.M.: Merging thermal and visual images by a contrast pyramid. Opt. Eng. 28(7), 789–792 (1989)CrossRefGoogle Scholar
  7. 7.
    Li, H., Manjunath, B.S., Mitra, S.K.: Multisensor image fusion using the wavelet transform. Graphical Models Image Processing 57(3), 235–245 (1995)CrossRefGoogle Scholar
  8. 8.
    Kingsbury, N.: Image processing with complex wavelets. In: Silverman, B., Vassilicos, J. (eds.) Wavelets: The Key to Intermittent Information, pp. 165–185. Oxford University Press, Oxford (1999)Google Scholar
  9. 9.
    Wang, Z., Simoncelli, E.P.: Local phase coherence and the perception of blur. In: Adv. Neural Information Processing Systems NIPS 2003, pp. 786–792. MIT Press, Cambridge (2004)Google Scholar
  10. 10.
    Kovesi, P.: Phase congruency: A low-level image invariant. Psych. Research 64, 136–148 (2000)CrossRefGoogle Scholar
  11. 11.
    Simoncelli, E.P., Freeman, W.T., Adelson, E.H., Heeger, D.J.: Shiftable Multi-scale Transforms. IEEE Trans. Information Theory 38(2), 587–607 (1992)MathSciNetCrossRefGoogle Scholar
  12. 12.
    Portilla, J., Simoncelli, E.P.: A Parametric Texture Model based on Joint Statistics of Complex Wavelet Coefficients. Int’l J. Computer Vision 40, 49–71 (2000)CrossRefzbMATHGoogle Scholar
  13. 13.
    Vision Research Lab, University of California at Santa Barbara, http://vision.ece.ucsb.edu/

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Rania Hassen
    • 1
  • Zhou Wang
    • 1
  • Magdy Salama
    • 1
  1. 1.Department of Electrical and Computer EngineeringUniversity of WaterlooWaterlooCanada

Personalised recommendations