An Image Fusion Algorithm Based on Redundant Wavelet Transform

Abstract:

Because of the limit of the optical lens’s depth, the objects of different distance usually cannot be at the same focus in the same picture, but multi-focus image fusion can obtain fusion image with all goals clear, improving the utilization rate of the image information ,which is helpful to further computer processing. According to the imaging characteristics of multi-focus image, a multi-focus image fusion algorithm based on redundant wavelet transform is proposed in this paper. For different frequency domain of redundant wavelet decomposition, the selection principle of high-frequency coefficients and low-frequency coefficients is respectively discussed .The fusion rule is that,the selection of low frequency coefficient is based on the local area energy, and the high frequency coefficient is based on local variance combining with matching threshold. As can be seen from the simulation results, the method given in the paper is a good way to retain more useful information from the source image , getting a fusion image with all goals clear.

• Periodical: Applied Mechanics and Materials (Volumes 687-691)
• Pages: 3656-3661
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.687-691.3656
• Online since: November 2014
• Authors: Min Fen Shen, Zhi Fei Su*, Jin Yao Yang, Li Sha Sun
• Keywords: Image Fusion, Multi-Focus Image, Redundant Wavelet Transform

References

[1] JING Zhongliang , XiaoGang, LI Zhenhua. Image fusion—theory and application [M]. Beijing. Higher education press, (2007).

[2] Qu G H, Zhang D L, Yan P F. Medical image fusion by wavelet transform modulus maxima. Optics Express, 2001, 9(4): 184-190.

DOI: 10.1364/oe.9.000184

[3] Nunez J, Otazu X, Fors O, et al. Multiresolution-based image fusion with additive wavelet decomposition[J]. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(3)： 1204-1211.

DOI: 10.1109/36.763274

[4] Y. Chibani. Multisource image fusion by using the redundant wavelet decomposition[J]. Proc. on IEEE International Geoscience and Remote Sensing SymPosium, 2003, 2: 1383-1385.

DOI: 10.1109/igarss.2003.1294116

[5] Tsai V J D. Frequency-based fusion of multi-resolution images [C]. Proceedings of 2003 IEEE International Geoscience and Remote Sensing Symposium, Taichung, 2003, 6: 3665-3667.

DOI: 10.1109/igarss.2003.1295231

[6] LIU Guixi, YANG Wanhai, Image fusion method based on wavelet decomposition and performance appraisal. Automatic sinica, 2002, 28 (6) : 927-934.

[7] Zhou Wang, Alan C. Bovik. A Universal Image Quality Index [J]. IEEE Signal Processing Letters, 2002, 9(3): 81-84.

DOI: 10.1109/97.995823