首页> 外文会议>6th Iranian Conference on Machine Vision and Image Processing >Real-time fusion of multi-focus images for visual sensor networks
【24h】

Real-time fusion of multi-focus images for visual sensor networks

机译:用于视觉传感器网络的多焦点图像的实时融合

获取原文

摘要

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.
机译:图像融合的目的是合并来自同一场景的多个图像的信息,以便仅传递有用的信息。在基于静止图像或视频的基于DCT的标准的实时系统中,基于离散余弦变换(DCT)的图像融合方法更合适并节省时间。本文提出了一种基于DCT域中计算出的方差的多焦点图像融合有效方法。在几张图像上的实验结果表明,与最近提出的几种技术相比,我们的方法在质量和降低复杂度方面均具有较高的效率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号