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A Novel Approach to Preserve Small Scale Details in Fused Image using Guide Filter with NSCT for Visual and Infrared Images

机译:使用带有NSCT的导向滤镜的可见光和红外图像在融合图像中保留小规模细节的新方法

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Fusion of more than a single image create a new version of image which holds plenty of information producing suitable and accurate decision making for the real-world applications. There is no accurate fusion mechanism to produce such a complement detailed image even though huge number of techniques and methodologies are available in the literature. This is an attempt to analyze the pros and cons of the existing popular fusion methods and provide a methodology to contribute in a fusion community. In this approach, the source images are fused by NSCT method. Though NSCT is good in preserving small scale details, it introduces some artifacts in the fused image. To overcome this drawback, the residual of the sources are derived as they retain small scale details such as edges and textures. The fusion version of the source-residuals is bind with NSCT fused image, an approach to compensate the loss details in this way. The resulted fusion images are compared with other techniques qualitatively and quantitatively. Result shows that the proposed approach outperforms the other approaches.
机译:融合多个图像会创建一个新版本的图像,该图像包含大量信息,可为实际应用提供合适而准确的决策。即使文献中提供了大量的技术和方法,也没有精确的融合机制来产生这样的细节图像。这是一种尝试分析现有流行融合方法的利弊,并提供一种在融合社区中做出贡献的方法的尝试。在这种方法中,源图像通过NSCT方法融合。尽管NSCT可以很好地保留小范围的细节,但它会在融合图像中引入一些伪像。为克服此缺点,源的残差会得到保留,因为它们保留了小比例的细节(例如边缘和纹理)。源残差的融合版本与NSCT融合图像绑定在一起,这是一种以这种方式补偿损失细节的方法。将所得融合图像与其他技术进行定性和定量比较。结果表明,该方法优于其他方法。

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