Color Image Fusion Algorithm Based on Block Information Entropy
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    Abstract:

    A method of color image fusion is proposed based on block information entropy, concerning the spatial resolution reduction of the original artwork during the fusion process with the traditional image fusion method. The developed method generates new fusion image by blocking images, calculating the information entropy of the blocked image on the luminance component I in color space IHS, and fusing the pivot element of the corresponding block whose information entropy is more. The experiment suggests that the method proposed in this thesis is better capable of planning scenic detailed information as a whole, compared to the traditional color image fusion method. In addition, it performs exceptionally in many aspects including information entropy and average gradient. Therefore, it is indeed of some practical value.

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杜欣宇,陈丽芳,刘渊.基于分块信息熵的彩色图像融合算法.计算机系统应用,2015,24(7):22-28

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History
  • Received:October 29,2014
  • Revised:December 17,2014
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  • Online: July 17,2015
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