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一种基于变分权值优化的多尺度图像融合方法 被引量:2

A total variational-based multi-scale image fusion
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摘要 针对多尺度变换的图像融合中难以获得理想低频系数权值,将变分法与偏微分方程理论应用在其中,使得提出的能量函数达到最小,以获得最优权值,最后获得融合图像。实验结果表明,该方法能得到更理想的权值函数,能很好保留源图像中的细节信息与显著特征,图像的亮度与对比度更符合人的视觉感受。 Image fusion based on multi-scale transform is hard to get the ideal low frequency coefficient values. A new method is proposed for the optimization of low weight function based on total variation and partial differential equations to obtain eventual fused images. Experimental results show that the proposed method can get an ideal weight function, and preserve detail information and salient features. The brightness and contrast of the fused image match with our visual feeling effectively.
出处 《济南大学学报(自然科学版)》 CAS 北大核心 2016年第1期36-40,共5页 Journal of University of Jinan(Science and Technology)
基金 国家自然科学基金(61271420) 广东省自然科学基金(S2012020011034)
关键词 图像融合 全变分 多尺度 权值函数 image fusion total variation multi-scale weight function
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参考文献15

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二级参考文献59

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