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首页> 外文期刊>International Journal of Wavelets, Multiresolution and Information Processing >AN IMAGE FUSION FRAMEWORK BASED ON HUMAN VISUAL SYSTEM IN FRAMELET DOMAIN
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AN IMAGE FUSION FRAMEWORK BASED ON HUMAN VISUAL SYSTEM IN FRAMELET DOMAIN

机译:基于人类视觉系统的框架域图像融合框架

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摘要

In this paper, a novel image fusion algorithm based on framelet transform is presented.nThe core idea is to decompose all the images to be fused into low and high-frequencynbands using framelet transform. For fusion, two different selection strategies are developednand used for low and high-frequency bands. The first strategy is adaptive weightednaverage based on local energy and is applied to fuse the low-frequency bands. In order tonfuse high-frequency bands, a new strategy is developed based on texture while exploitingnthe human visual system characteristics, which can preserve more details in sourcenimages and further improve the quality of fused image. Experimental results demonstratenthe efficiency and better performance than existing image fusion methods both innvisual inspection and objective evaluation criteria.
机译:本文提出了一种基于小帧变换的图像融合算法。n的核心思想是利用小帧变换将所有待融合图像分解为低频和高频波段。为了融合,开发了两种不同的选择策略,并将其用于低频和高频频段。第一种策略是基于局部能量的自适应加权平均,并用于融合低频频段。为了融合高频频段,在充分利用人类视觉系统特征的基础上,提出了一种基于纹理的新策略,该策略可以在源图像中保留更多细节,并进一步提高融合图像的质量。实验结果证明,与现有的图像融合方法相比,无论是目视检查还是客观评价标准,其效率和性能都更高。

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