利用统计特性进行图像融合效果分析及评价

Analysis and Evaluation of the Effect of Image Fusion Using Statistics Parameters

  • 摘要: 研究图像融合的客观效果评价。利用图像的统计特性,即均值、标准方差、熵、交叉熵进行融合图像分析及效果评价的方法,并以多尺度对比度金字塔图像融合方法为例,就同一目标可见光与红外图像融合的具体情况,对融合层数不同的结果图象进行分析和评价。评价结果与理论分析结果、目视效果相吻合。统计特性是一种客观和实用的对融合图像效果进行分析及评价的方法。

     

    Abstract: To study the objective evaluation of fusion image, statistics parameters such as mean, standard deviation, entropy and cross entropy were used in the analysis and evaluation of image fusion, and this method was applied to the fusion of visual image and thermal image of the same object with multiscale contrast pyramid algorithm(MCPA). The evaluation result coincides with the visual effect and the theory result. The evaluation method using statistics parameter is objective and practical for fusion image.

     

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