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A Novel Architecture for Wavelet based Image Fusion

Authors: Susmitha Vekkot, Pancham Shukla


In this paper, we focus on the fusion of images from different sources using multiresolution wavelet transforms. Based on reviews of popular image fusion techniques used in data analysis, different pixel and energy based methods are experimented. A novel architecture with a hybrid algorithm is proposed which applies pixel based maximum selection rule to low frequency approximations and filter mask based fusion to high frequency details of wavelet decomposition. The key feature of hybrid architecture is the combination of advantages of pixel and region based fusion in a single image which can help the development of sophisticated algorithms enhancing the edges and structural details. A Graphical User Interface is developed for image fusion to make the research outcomes available to the end user. To utilize GUI capabilities for medical, industrial and commercial activities without MATLAB installation, a standalone executable application is also developed using Matlab Compiler Runtime.

Keywords: Filter mask, GUI, hybrid architecture, image fusion, Matlab Compiler Runtime, wavelet transform.

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[1] M. Sasikala and N. Kumaravel, "A comparative analysis of featurebased image fusion methods," Information Technology Journal, 6(8):1224- 1230, 2007.
[2] J. Daugman and C. Downing, "Gabor wavelets for statistical pattern recognition," The handbook of brain theory and neural networks, M. A. Arbib, ed. Cambridge, MA, USA: MIT Press, 1998, pp.414-420.
[3] S. Mallat, "Wavelets for a vision," Proceedings of the IEEE, New York Univ., NY, 84(4):604-614, April 1996.
[4] A. Wang, H. Sun and Y. Guan, "The application of wavelet transform to multimodality medical image fusion," Proc. IEEE International Conference on Networking, Sensing and Control (ICNSC), Ft. Lauderdale, Florida, 2006, pp.270-274.
[5] O. Rockinger, "Pixel-level fusion of image sequences using wavelet frames," Proc. of the 16th Leeds Applied Shape Research Workshop, Leeds University Press, 1996, 149-154.
[6] H. Li, B. S. Manjunath, and S. K. Mitra, "Multisensor image fusion using the wavelet transform," Graphical Models and Image Processing, 57(3):235-245, May 1995.
[7] M. Jian, J. Dong and Y. Zhang, "Image fusion based on wavelet transform," Proc., 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Distributed Computing,,Qingdao, China, July 2007.
[8] Z. Yingjie and G. Liling, "Region-based image fusion approach using iterative algorithm," Proc. Seventh IEEE/ACIS International Conference on Computer and Information Science(ICIS), Oregon, USA, May 2008.
[9] H. Zhang, L. Liu and N. Lin, "A novel wavelet medical image fusion method," International Conference on Multimedia and Ubiquitous Engineering (MUE-07), Seoul, Korea, April 2007.
[10] V. Petrovic, "Multilevel image fusion," Proceedings of SPIE, 5099:87- 96, 2003.
[11] Y. Zheng, X. Hou, T. Bian and Z. Qin, "Effective image fusion rules of multiscale image decomposition," Proc. of 5th International Symposium on Image and Signal Processing and Analysis (ISPA07), Istanbul, Turkey, September 2007, pp. 362-366.
[12] J. Gao, Z. Liu and T. Ren, "A new image fusion scheme based on wavelet transform," Proc., 3rd International Conference on Innovative Computing,Information and Control, Dalian, China, June 2008.
[13] I. Daubechies, "The wavelet transform, time-frequency localization and signal analysis," IEEE Trans. Info. Theory, 36:961-1005, 1990.
[14] M. Vetterli and C.Herley, "Wavelets and filter banks: theory and design," IEEE Transactions on Signal Processing, 40(9):2207-2232, September 1992.
[15] S. G. Mallat, "A Theory for multiresolution signal decomposition - the wavelet representation," IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(7):674-693, July 1989.
[16] R. C. Luo and M. G. Kay, "Data fusion and sensor integration: state of the art 1990s," Data Fusion in Robotics and Machine Intelligence, M. A. Abidi and R. C. Gonzalez eds., Academic Press, San Diego, 1992, pp.7- 135.
[17] Y. Du, P. W. Vachon, and J. J. V. Sanden, "Satellite image fusion with multiscale wavelet analysis for marine applications: preserving spatial information and minimizing artifacts (PSIMA)," Can. J. Remote Sensing, 29(6):14-23, November 2003.
[18] S. T. Smith, "MATLAB advanced GUI development," Dog Ear Publishing, 2006.
[19] O. Rockinger, "Various Registered Images," Available Online, URL:, 2005