Image Fusion Algorithm Based on Contrast Pyramid and its Performance Evaluation

Abstract:

Contrast pyramid algorithm is put forward in this paper. The human visual system is sensitive to contrast information of image, so contrast pyramid algorithm would outstanding the contrast of image. The algorithm consists of creation process of Gauss Pyramid, the process of creating contrast Pyramid and reconstruction process of clear image. Simulation by MATLAB was completed in multi-focus image, multi-modality image and color image. Objective evaluation index such as mean, standard deviation, entropy and average gradient was calculated Simulation results and index show that the contrast pyramid algorithm has advantage of projecting the contrast of image, especially in color image fusion.

• Periodical: Applied Mechanics and Materials (Volume 525)
• Pages: 711-714
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.525.711
• Online since: February 2014
• Authors: Yu Bing Dong*, Ming Jing Li, Jie Li
• Keywords: Contrast Pyramid, Image Fusion, Performance Evaluation, Pyramid Decomposition

References

[1] Z. Wang , Y . Tie, and Y . Liu , Design and Implementation of Image Fusion System, International Conference on Computer Application and System Modeling (ICCASM), 2010, p.140.

DOI: 10.1109/iccasm.2010.5622856

[2] G. Pajares, J. Cruz, A wavelet-based image fusion tutorial, Pattern Recognition 37 (9) (2004).

DOI: 10.1016/j.patcog.2004.03.010

[3] Q. Wang, Y. Shen, Y. Zhang and J.Q. Zhang, A quantitative method for evaluating the performances of hyperspectral image fusion, IEEE Transactions on Instrumentation and Measurement, Vol. 52 (2003), p.1041.

DOI: 10.1109/tim.2003.814821

[4] Z.L. Zhang, S.H. Sun and F.C. Zheng, Image fusion based on median filters and SOFM neural networks: A three-step scheme, Signal Processing, Vol. 81 (2001), p.1325.

DOI: 10.1016/s0165-1684(00)00273-5

[5] G. Pajares, J. Cruz, A wavelet-based image fusion tutorial, Pattern Recognition 37 (9) (2004).

DOI: 10.1016/j.patcog.2004.03.010