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《Journal of Henan Polytechnic University(Natural Science)》 2017-04
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Multi-focus image fusion algorithm based on nonsubsampled contourlet transform and region characteristic

LIU Shuan;LIU Zhiliang;ZHAN Quanchao;College of Information Engineering,Huanghuai University;College of Computer Science and Technology,Taiyuan University of Technology;  
In order to improve the quality of image fusion,and preserve the spectral characteristics of the original image for avoiding the spectral degradation of the fusion image,the multi-focus image fusion algorithm based on non-down sampling Contourlet transform and region characteristic is proposed. By using the nonsubsampled Contourlet transform,multiscale decomposition is performed on the image to obtain the multi layer sub bands of the image. By using energy function of the segmentation block,the energy measurement model is built. The regional energy weighting coefficient of similarity coefficient is obtained. By using of regional energy,the similarity coefficient of the low-frequency subband is determined and the fusion of the low frequency subband image is completed. Based on the segmentation of tectonic characteristics in high frequency band,the sharpness of the ranks of summation model is formed. The high frequency subbands in the block segmentation region is obtained. Meanwhile,the sharpness value is used to establish a segmentation block decision function and complete high frequency sub image fusion. Finally,the nonsubsampled Contourlet transform is used to obtain the fusion image. The experimental results show that the image fusion algorithm is proposed is effective for multi focus image fusion. The algorithm can keep the image fusion source map in more detail,with better fusion effect.
【Fund】: 河南省科技攻关项目(152102210227);河南省科技攻关项目(122102210430)
【CateGory Index】: TP391.41
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