计算机科学 ›› 2014, Vol. 41 ›› Issue (Z6): 224-226.
华东,余宏生
HUA Dong and YU Hong-sheng
摘要: 在实时数字图像融合系统中需要对融合图像的质量进行客观评价。针对传统客观评价方法存在与人眼视觉系统(Human Visual System,HVS)主观评价结果不相符的缺陷,提出了一种基于视觉信息保真度(Visual Information Fidelity,VIF)的融合图像质量客观评价方法。在假设图像源符合GSM(Gaussian Scale Mixture,GSM)模型,并将图像融合处理作为图像信号失真通道,而且考虑人眼视觉噪声特性的前提下,建立了基于VIF的数字融合图像质量客观评价理论模型,提出了一种融合图像质量评价指标FVIF。实验结果表明:该方法能够对融合图像质量进行综合评价,与其它方法相比,FVIF客观评价方法的性能更好,其评价结果与主观评价结果基本一致。
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