摘要
利用Contourlet统计特征建立自然统计模型与待评价图像模型,提出了Contourlet域无参考图像质量评价方法(SCIQA)。通过在主观数据库上的实验表明,无论同种干扰类型的图像还是多种干扰图像集合,SCIQA均明显优于经典全参考算法和通用型无参考算法,并且具有较强的通用性。
The statistic features in Cntourlet domain are employed to build the natural statistic model and the tested image model first.Then a no-reference assessment algorithm in Contourlet domain(SCIQR)is proposed.Experiment results on subjective databases show that SCIQR outperforms the classical full-reference image quality assessment algorithm and the universal no-reference algorithm nomatter on single distortion type images and on the set of different types of distortion images.This demonstrates that SCIQR has good universality.
出处
《吉林大学学报(工学版)》
EI
CAS
CSCD
北大核心
2016年第2期639-645,共7页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金项目(61201238)