计算机工程与应用Issue(14)：152-155,235,5.DOI:10.3778/j.issn.1002-8331.1202-0442
数字图像清晰度评价函数的通用评价能力研究
Efficiency contrast of digital image definition functions for general evalua-tion.
摘要
Abstract
Image Quality Assessment(IQA) has long been a hot topic in the research field of computer vision. It is still a hard-tackling problem to enable the computer to assess the image quality as human visual system. As a vital component of IQA, Image Definition Evaluation Function(IDEF)is not only of great significance, but also conductive to the development of the related fields such as image restoration and image enhancement. The current IDEFs are mainly based on the amount of the image edge information or overall information entropy to estimate the image’s definition. This paper discusses the general evaluation efficiency of five typical IDEFs, and aims to study on their effectiveness to evaluate the definition of different images blurred in different depth simultaneously, which will indicate the distance between the given five IDEFs and the subjective perception.关键词
图像质量客观评价/清晰度评价函数/图像边缘/信息熵/通用评价能力Key words
image quality assessment/image definition evaluation function/image edge/information entropy/general evalua-tion efficiency分类
信息技术与安全科学引用本文复制引用
陈亮,李卫军,谌琛,覃鸿,来疆亮..数字图像清晰度评价函数的通用评价能力研究[J].计算机工程与应用,2013,(14):152-155,235,5.基金项目
国家自然科学基金重大研究计划项目（No.90920013）。 （）
