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The Vista of Information Communication Technology in the Ageing Society: a Perspective from Elderly’s Core Needs 会议论文
Virtual Event, July 24–29, 2021
作者:  Liang Zhang;  Xiaolei Ma;  Ningxuan Zhang;  Huajun Cao;  Chao Ai
收藏  |  浏览/下载:68/0  |  提交时间:2021/06/15
Fast color-transfer-based image fusion method for merging infrared and visible images (EI CONFERENCE) 会议论文
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, April 7, 2010 - April 8, 2010, Orlando, FL, United states
Li G.; Xu S.; Zhao X.
收藏  |  浏览/下载:19/0  |  提交时间:2013/03/25
We present a computationally efficient color image fusion algorithm for merging infrared and visible images. At the core of the proposed method is the color transfer technique based on the linear YCBCR space. The method directly uses the grayscale fused image and the difference signals of the input images to construct the source YCBCR components  then uses the statistical color transfer technique to form a color fused image that takes the target image's color characteristics. Two different strategies  which respectively employ the pixel averaging fusion scheme and the multiresolution fusion scheme as the grayscale image fusion solution  are proposed to fulfill different user needs. The simple strategy using the pixel averaging fusion scheme answers to a need of easy implementation and speed of use. And the complex strategy using the multiresolution fusion scheme answers to the high quality need of the fused products. In addition  we also describe some useful theories about color-transfer-based image fusion. Experimental results show that the proposed color image fusion algorithm can effectively produce a natural appearing "daytime-like" color fused image  and even using the pixel averaging fusion scheme to implement the grayscale fusion can also provide a pleasing result. 2010 Copyright SPIE - The International Society for Optical Engineering.  


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