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Wavelet enhanced fusion algorithm for multisensor images

机译:小波多传感器图像融合算法

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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局限性以及拍摄环境的制约等因素,使得所获得图像的分辨率和对比度下降,在采集过程中隐藏了图像中的一些重要信息。因此,为了获得更丰富的图像,必须在集成之前对源图像进行增强,以便访问隐藏的信息。该论文介绍了基于图像增强的通用集成方案,并提出了一种与小波图像增强技术融合的方法。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对原始图像和增强图像的系数进行积分。实验结果表明,在融合前对源图像进行增强处理,可以提高融合效果,并且可以通过不增强而直接融合而获得的隐蔽信息。

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