机构地区: 浙江大学数学系
出 处: 《高校应用数学学报(A辑)》 2001年第1期8-14,共7页
摘 要: 通过 (S)型模糊积分和 (G)型模糊积分定义一类新的图像度量 .实验证明 ,在衡量图像失真度方面该图像度量比传统的图像度量 (包括峰值信噪比(PSNR) )更合适于人类的视觉系统 . In this paper,a class of image metrics is defined based on the (S) type fuzzy integrals and (G) type fuzzy integrals.This class of new image metrics is more appropriate to human vision system than the usual traditional image metrics, as well as the peak\|signal\|noise ratio(PSNR) in measuring image distortion.