基于模糊数学的数字图像模糊度
Fuzzy Degree of Image Based on Fuzzy Mathematics
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摘要: 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.Abstract: Assessment of image quality is an important problem in image processing,but it is very difficult to give an objective evaluation.A definition of the fuzzy degree of digital image is presented by introducing some concepts in fuzzy mathematics,such as triangular norm operator and non-fuzziness cardinality.Being proved both in theory and in experiments,this definition is in better accordance with human subjective vision than that of fuzziness index and can be used to assess the image quality more reasonably.The fuzzy degree of image can distinctly raise the efficiency of image processing systems.
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