Image Fusion Algorithm Based on Contrast Pyramid and its Performance Evaluation
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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.
[1] Gonzalo Pajares,et al. A wavelet-based image fusion tutorial , 2004, Pattern Recognit..
[2] Zhihui Wang,et al. Design and implementation of image fusion system , 2010, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010).
[3] Yi Shen,et al. A quantitative method for evaluating the performances of hyperspectral image fusion , 2003, IEEE Trans. Instrum. Meas..
[4] Fu-Chun Zheng,et al. Image fusion based on median filters and SOFM neural networks: : a three-step scheme , 2001, Signal Process..