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A simple and efficient image fusion algorithm based on standard deviation in wavelet domain

机译:基于小波域标准差的简单高效图像融合算法

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Fusion is a process of extraction of useful information acquired from several domains. The objective of image fusion is to extract the needed data from multiple images to generate a composite image that contains an enhanced representation of the image than any individual source image. Image fusion can be applied to various images like multi-sensor, multi-modal, multi-temporal or multi-focus. The reason behind going for image fusion is to reduce bandwidth, time consumption, increase in spatial information and reduction in power consumption. In this paper, a simple and competent image fusion algorithm based on standard deviation in wavelet domain is proposed and compared with both transform domain as well as spatial domain techniques. The techniques are evaluated with various databases quantitatively and qualitatively.
机译:融合是提取从多个域获取的有用信息的过程。图像融合的目的是从多个图像中提取所需的数据,以生成一个复合图像,该复合图像包含比任何单个源图像都增强的图像表示。图像融合可以应用于各种图像,例如多传感器,多模式,多时间或多焦点。进行图像融合的原因是减少带宽,减少时间消耗,增加空间信息并降低功耗。本文提出了一种基于小波域标准差的简单有效的图像融合算法,并与变换域和空间域技术进行了比较。通过各种数据库对技术进行定量和定性评估。

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