基于韦伯-费赫涅尔(Weber-Fechner)定律,结合图像空间向量分解方法,通过空间向量结构相似性的分析和考察,确定韦伯-费赫涅尔定律的空间相似分解模型,进而考察图像质量的度量方法.实验结果表明,这一空间模型与主观视觉感受进一步吻合,降低了图像质量评价方法的复杂度和不确定性,有利于新的图像质量评价方法的建立.
Based on the Weber-Fechner law and decomposition method of image space vectors,a space similarity analysis model of Weber-Ferchner law was proposed by analyzing space vector structure similarity.It was found the space model better matches subjective visual feel and lowers complexity and uncertainty of image quality assessment.Experiment results show that the proposed model is conducive to setting up new image quality assessment methods.