基于区域熵的融合图像质量评价方法

Yunna Tian, Yong Zhang, Li Li
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引用次数: 1

摘要

融合图像的熵值评价往往与主观评价结果不一致。提出了一种基于区域熵的评价方法。首先基于自动最大方差阈值法将融合图像划分为背景区域和目标区域;然后分别计算区域熵。根据人类视觉系统的特点,对感兴趣区域施加较大的权重因子,增加了目标区域熵的影响程度。实验结果表明,区域熵评价方法比全熵评价方法更接近主观评价结果。同时,区域熵计算公式在一定程度上与全熵计算方法具有较好的一致性。
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Assessment Method of Fusion Image Quality Based on Region Entropy
Entropy assessment of fusion image is inconsistent frequently of subjective evaluating result. An assessment method based on region entropy is provided. First divide fusion image into background region and target region based on automatic maximum variance threshold method. Then calculate region entropy respectively. According to human visual system characteristics load greater weight factor to region of interest than others, which increase the influence degree of target region entropy. Experiment result shows region entropy assessment is closer to the subjective evaluating result than the whole entropy assessment method. Meanwhile, region entropy calculating equation has the good concordance with the whole entropy calculating method under certain extent abbreviation.
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