面向视觉传感器网络的多焦点图像实时融合

Mohammad Haghighat, A. Aghagolzadeh, Hadi Seyedarabi
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引用次数: 69

摘要

图像融合的目的是将同一场景的多幅图像信息结合起来,只传递有用的信息。基于离散余弦变换(DCT)的图像融合方法在采用基于DCT的静止图像或视频标准的实时系统中更为适用和节省时间。提出了一种基于DCT域方差计算的多焦点图像融合方法。在多幅图像上的实验结果表明,与最近提出的几种方法相比,我们的方法在质量和降低复杂性方面都有了提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time fusion of multi-focus images for visual sensor networks
The objective of image fusion is to combine information from multiple images of the same scene in order to deliver only the useful information. The discrete cosine transform (DCT) based methods of image fusion are more suitable and time-saving in real-time systems using DCT based standards of still image or video. In this paper an efficient approach for fusion of multi-focus images based on variance calculated in DCT domain is presented. The experimental results on several images show the efficiency improvement of our method both in quality and complexity reduction in comparison with several recent proposed techniques.
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