An Improved Image Quality Objective Assessment Method Using Non-linear Calibration Algorithm

被引：0
|
作者：
Yang, Shuang [1 ]
Meng, Fang [1 ]
Jiang, Xiuhua [1 ]
Liu, Hao [1 ]
机构：
[1] Commun Univ China, Informat Engn Sch, Beijing, Peoples R China
来源：
2014 7TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP 2014) | 2014年
关键词：
image quality; color moment; SSIM; non-linear calibration;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper firstly presents an image quality objective assessment method on the base of color moments. Then by analyzing the statistical characteristics of the subjective assessment results, this paper proposes a non-linear calibration algorithm using the worst image quality video sequence as the reference to separate the score interval of objective assessment. Combined with the similarity metric algorithm based on the color moment, an improved objective assessment algorithm of the image quality is established. The results show that the subjective evaluation results and objective evaluation values gained by this algorithm are with high consistency.
引用
收藏
页码：591 / 595
页数：5
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