计算机科学与探索2012，Vol.6Issue(11)：1019-1025,7.DOI:10.3778/j.issn.1673-9418.2012.11.006
基于边缘梯度信息的图像质量评价方法
Image Quality Assessment Method Based on Edge and Gradient Information
摘要
Abstract
The human visual characteristics to evaluate image quality has been a hot research field of image processing. However lots of metrics do not fully consider the characteristics of human visual system (HVS). For the deficiencies of current work, this paper proposes a metric based on edge and gradient information. Firstly, wavelet transform modulus maxima is used to detect edge and gradient. Then, different image regions are weighted with Gaussian function. Finally, the assessment method is proposed. The experimental results show that this method can measure the quality of different distorted images accurately and effectively, and its consistency with subjective evaluation value is better than other metrics. The experimental results also show that the performance of this method has been improved greatly.关键词
图像质量评价/人眼视觉系统(HVS)/结构相似度/边缘信息Key words
image quality assessment/ human visual system (HVS)/ structural similarity/ edge information分类
信息技术与安全科学引用本文复制引用
梁敏瑜,孙权森..基于边缘梯度信息的图像质量评价方法[J].计算机科学与探索,2012,6(11):1019-1025,7.基金项目
The National Natural Science Foundation of China under Grant No.60773172(国家自然科学基金) （国家自然科学基金）
the Specialized Research Fund for the Doctoral Program of Higher Education of China under Grant No.200802880017(高等学校博士学科点专项科研基金) （高等学校博士学科点专项科研基金）
the Research Program of Nanjing University of Science and Technology under Grant No.2011ZDJH26(南京理工大学自主科研专项计划资助项目). （南京理工大学自主科研专项计划资助项目）
