基于均匀色差空间向量分解模型的彩色图像质量评价方法

针对三要素(亮度、色调和饱和度)空间方法缺乏视觉均匀色差思想的支持,而均匀色差空间方法又需要其他有效评价模型的补充,该文立足于图像的两个基本属性,即光特性(亮度、色调和饱和度)和结构特点,结合反映彩色空间特性的均匀色差空间模型以及空间向量分解模型,提出了均匀色差空间向量分解模型.实验结果表明基于均匀色差空间向量分解模型较传统评价方法和单项模型更能够全面地评价彩色图像质量.

Color image quality assessment based on uniform color difference space vector decomposition model

In general ,the image quality assessment (IQA) methods which are based on the three elements space lack the support of uniform color difference space .Similarly ,the IQA methods w hich are based on the uniform color difference space need complement of other effective evaluation model . Based on the two attributes of image , namely the optical characteristics (brightness ,hue and saturation) and structure characteristic ,uniform color difference space vector decomposition model was proposed by combining the space vector decomposition model and uniform color difference model .The experimental results showed that uniform color difference space vector decomposition model could be more consistent with subjective visual perception .