• Electro-Optic Technology Application
  • Vol. 24, Issue 2, 75 (2009)
JING Shao-wei, Yang Feng-bao, and LI Shen-yan
Author Affiliations
  • [in Chinese]
  • show less
    DOI: Cite this Article
    JING Shao-wei, Yang Feng-bao, LI Shen-yan. Effect Evaluation of Multi-Source Image Color Fusion[J]. Electro-Optic Technology Application, 2009, 24(2): 75 Copy Citation Text show less

    Abstract

    Four color fusion images are subjectively and objectively evaluated. The images are obtained from the simple color fusions based on enhanced treatment and HSV transform, human visual characteristics and YIQ transform. In the Subjective evaluation test, the visible image, medium-wave image and long-wave image in the same scene are processed according to different algorithms. The results are used to analyze comparatively statistically the histograms. In the objective evaluation test, the images are compared through ways of YIQ transform and averaging, and then the fusion results are compared using directly contrast degree of R channel, rough degree of G channel and entropy of B channel. Conclusion is that the combination of subjective evaluation and objective evaluation can effectively evaluate the color fusion images.