A Multi-Focus Image Fusion Based on Wavelet and Block-Dividing

Abstract:

The traditional fusion rules of multi-focus image are largely centered on the fusion rule of high frequency coefficients, and those rules are all based on single pixel. Which leads to serious ringing effect, and reduces the visual effect of fusion image. The energy of an image is concentrated in the low frequency part after Wavelet Transform, and multi-focus image has the characteristic that the vast majority of adjacent pixels are either the clear area, or the blur area. Based on the above analysis, a new fusion method to multi-focus image is presented in this paper. The simulation results show that the proposed method is more feasible than common methods in processing multi-focus image.

• Periodical: Applied Mechanics and Materials (Volumes 719-720)
• Pages: 988-993
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.719-720.988
• Online since: January 2015
• Authors: Hui Zhu Ma*, Qi Gui Nie
• Keywords: Average Gradient, Block-Dividing, DWT, Multi-Focus Image Fusion

References

[1] A.A. Goshtasby, S. Nikolov, Image fusion: advances in the state of the art, Information Fusion, No. 8 (2) , 2007, p.114–118.

DOI: 10.1016/j.inffus.2006.04.001

[2] N. Mitianoudis, T. Stathaki, Pixel-based and region-based image fusion schemes using ICA bases, Information Fusion, No. 8 (2) , 2007, p.131–142.

DOI: 10.1016/j.inffus.2005.09.001

[3] Arif, Muhammad Hassan, Wavelet based multi-focus image fusion using adaptive sized blocks, Multitopic Conference, 2009. INMIC 2009. IEEE 13th International, Islamabad, Pakistan, 14-15 December 2009, pp.284-288.

DOI: 10.1109/inmic.2009.5383172

[4] K. Kannan, S. Arumuga Perumal, Optimal Decomposition Level of Discrete Wavelet Transform for Pixel based Fusion of Multi-focused Images, Conference on Computational Intelligence and Multimedia Applications, 2007, Sivakasi, Tamil Nadu, 13-15 December. 2007, pp.314-318.

DOI: 10.1109/iccima.2007.143

[5] Song. Yu, Man-Tian T, Li. Qingling, Sun. Li-Ning N, A New Wavelet Based Multi-focus Image Fusion Scheme and Its Application on Optical Microscopy, International Conference on Robotics and Biomimetics, 2006, Kunming, China, 17-20 December 2006, pp.401-405.

DOI: 10.1109/robio.2006.340210

[6] Li. Hui, B.S. Manjunath and Sanjit K. Mitra, Multi sensor image fusion using the wavelet transform, Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference, Austin, TX, pp.51-55 vol. 1.

DOI: 10.1109/icip.1994.413273

[7] L. Ying-Hua, F. Xue, Z. Jing-Bo, W. Ru-Juan, Z. Kai-Yuan and K. Jun, A Multi-focus Image Fusion Based on Wavelet and Region Detection, " EUROCON, 2007. The International Conference on "Computer as a Tool, Warsaw, p.294 – 298.

[8] Zhi-Guo Jiang, Dong-Bing Han, Jin Chen and Xiao-kuan Zhou, A wavelet based Algorithm for Multi-focus Micro Image Fusion, Proceedings of third International Conference on Image and Graphics, 2004, Hong Kong, China, 18-20 December 2004, pp.176-179.

DOI: 10.1109/icig.2004.29

[9] Yong Yang. A Novel DWT Based Multi-focus Image Fusion Method, 2011 International Conference on Advances in Engineering, Original Research Article Procedia Engineering, Volume 24, 2011, pp.177-181. doi: 10. 1016/j. proeng. 2011. 11. 2622.

DOI: 10.1016/j.proeng.2011.11.2622

[10] G. Pajares, J. Cruz, A wavelet-based image fusion tutorial, Pattern Recognition, Volume 37, Issue 9, September 2004, p.1855–1872. doi: 10. 1016/j. patcog. 2004. 03. 010.

DOI: 10.1016/j.patcog.2004.03.010

[11] V. Aslantas, R. Kurban, Fusion of multi-focus images using differential evolution algorithm, Expert Systems with Applications, (2010), Volume 37, Issue 12, December 2010, p.8861–8870. doi: 10. 1016/j. eswa. 2010. 06. 011.

DOI: 10.1016/j.eswa.2010.06.011

[12] W. Z. Shi, C. Q. Zhu, Y. Tian, J. Nichol, Wavelet-based image fusion and quality assessment, International Journal of Applied Earth Observation and Geoinformation, Volume 6, Issues 3–4, March 2005, p.241–251. doi: 10. 1016/j. jag. 2004. 10. 010.

DOI: 10.1016/j.jag.2004.10.010

[13] Xydeas Costas S, Petrović Vladimir S, Objective image fusion performance measure, Electronics Letters, Vol. 36, No. 2, 2000, p.308–309.

DOI: 10.1049/el:20000267