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Wavelet enhanced fusion algorithm for multisensor images

机译:小波增强多传感器图像的增强融合算法

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摘要

Due to the limitation of the image acquisition equipment itself and the constraints of taking environment and other factors, the resolution and contrast of the obtained images have declined, and some important information in the images was hidden in the acquisition process. Therefore, in order to get a richer picture, the source images must be enhanced prior to the integration, so as to access the hidden information. The proposed paper introduces the general integration scheme based on image enhancement, and presents a fusion method with the wavelet image enhancement technology. We first enhance the source images according to wavelet image enhancement technology, and then use the appropriate fusion rule to integrate the coefficients of the original images and the enhanced images. Experimental results show that the enhancement of the source images prior to integration, could improve the fusion effect and obtain the hidden information barely acquired through directly fusion without enhancement.
机译:由于图像采集设备本身的限制以及采取环境的约束和其他因素,所获得的图像的分辨率和对比度呈下降,并且图像中的一些重要信息被隐藏在采集过程中。因此,为了获得更丰富的图像,必须在集成之前增强源图像,以便访问隐藏信息。该拟议论文介绍了基于图像增强的一般集成方案,并提出了一种具有小波图像增强技术的融合方法。我们首先根据小波图像增强技术增强源图像,然后使用适当的融合规则来集成原始图像的系数和增强图像。实验结果表明,在集成之前的源图像增强,可以改善融合效果,并通过直接融合而没有提升,获得几乎没有收购的隐藏信息。

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