图像的品质评定是图像处理领域的一项重要课题, 难以对其给出客观的评价. 文中引进模糊数学中的三角

模算子与非模糊基数等概念, 定义了数字图像模糊度. 理论与实验表明: 该定义比模糊指数更符合人眼的视觉特性,

并可用于评价图像品质. 图像模糊度能够明显提高图像处理系统的效率.-Image quality evaluation is an important field of image processing tasks, it is difficult Duiqi give an objective evaluation. Paper, the introduction of fuzzy mathematics in the Triangular Norm base with non-fuzzy concepts, the definition of a digital image ambiguity. Theory and Experiment show: The definition of fuzzy indices more than the human eye' s visual characteristics, and can be used to evaluate the image quality. image fuzzy degree can significantly improve the efficiency of image processing systems.