OSA's Digital Library

Optics Express

Optics Express

  • Editor: J. H. Eberly
  • Vol. 9, Iss. 4 — Aug. 13, 2001
  • pp: 184–190

Medical image fusion by wavelet transform modulus maxima

Guihong Qu, Dali Zhang, and Pingfan Yan  »View Author Affiliations

Optics Express, Vol. 9, Issue 4, pp. 184-190 (2001)

View Full Text Article

Enhanced HTML    Acrobat PDF (185 KB)

Browse Journals / Lookup Meetings

Browse by Journal and Year


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools



Medical image fusion has been used to derive useful information from multimodality medical image data. In this research, we propose a novel method for multimodality medical image fusion. Using wavelet transform, we achieved a fusion scheme. A fusion rule is proposed and used for calculating the wavelet transformation modulus maxima of input images at different bandwidths and levels. To evaluate the fusion result, a metric based on mutual information (MI) is presented for measuring fusion effect. The performances of other two methods of image fusion based on wavelet transform are briefly described for comparison. The experiment results demonstrate the effectiveness of the fusion scheme.

© Optical Society of America

OCIS Codes
(100.7410) Image processing : Wavelets
(350.2660) Other areas of optics : Fusion

ToC Category:
Research Papers

Original Manuscript: May 10, 2001
Published: August 13, 2001

Qu Guihong, Zhang Dali, and Yan Pingfan, "Medical image fusion by wavelet transform modulus maxima," Opt. Express 9, 184-190 (2001)

Sort:  Journal  |  Reset  


  1. M.A. Hurn, K.V. Mardia, "Bayesian fused classification of medical images," IEEE Trans. Med. Imag. 15, 850-858 (1996) [CrossRef]
  2. J. Chanutsot, G. Mauris and P. Lambert, "Fuzzy fusion techniques for linear features detection in mltitemporal SAR imaged," IEEE Trans. Geoscience and Remote Sensing 37, 1350-1359 (1999)
  3. L. Bruzzone, F. Prieto and S. Serpico, "A neural statistical approac to multitemporal and multisource remote sensing image classification," IEEE Trans. Geoscience and Remote Sensing 37, 1292-1305 (1999) [CrossRef]
  4. P. J. Burt and E. H. Adelson, "The Laplacian pyramid as a compact image code," IEEE Trans. on Communications COM-31, 532-540( 1983) [CrossRef]
  5. Tang Zhi Wei, Wang Jian Guo, Huang Shun Ji, "The wavelet transformation application for image fusion," in Wavelet Application VII, H. H. Szu, ed., Proc. SPIE 4056, 462-469 (2000)
  6. H. Li, B.S. Manjunath, and S.K. Mitra, "Multisensor image fusion using the wavelet transform," Graphical Models and Image Processing 57, 235-245 (1995) [CrossRef]
  7. George P. Lemeshewsky, "Multispectral multisensor image fusion using wavelet transforms," in Visual Information Processing VIII, S.D. Park, ed., Proc. SPIE 3716, 214-222 (1999)
  8. L. Brown, "A survey of image registration techniques," ACM Comput. Surv. 24, 325-376 (1992) [CrossRef]
  9. P. Elsen, E. Pol, and M. Viergever, "Medical image matching - A review with classification, " IEEE Eng, Med. Biol. 26-39 (1993) [CrossRef]
  10. D. Marr, Vision (W.H. Freeman and Co., San Fransisco, 1982)
  11. S. Zhong, S. Mallat, "Characterization of signals from multiscale edges," IEEE Trans. PAMI. 14. 710-732 (1992) [CrossRef]
  12. S. Mallat, A wavelet tour of singnal processing (Academic Press, 1998)
  13. W. B. Pennebaker, J. L. Mitchell, JPEG - still image data compression standards, (Van Nostrand Reinhold, 1993).
  14. W. D. Withers, "A rapid entropy coding algorithm," (Technical report, Pegasus Imaging Corporation) ftp://www.pegasusimaging.com/pub/ELSCODER.PDF .
  15. R. R. Coifman, M. V. Wickerhauser, "Entropy-based algorithms for best basis selection," IEEE Trans. on Information Theory 38, 713-718 (1992) [CrossRef]

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited