No-reference Image Quality Assessment Using Dual-tree Complex Wavelet Transform

被引：0
|
作者：
Zhong, Xiaochun [1 ]
Li, Chaofeng [1 ,2 ]
Zhang, Wei [1 ]
Ju, Yiwen [2 ]
机构：
[1] Jiangnan Univ, Sch Internet Things Engn, Wuxi, Peoples R China
[2] Chinese Acad Sci Univ, Lab Computat Geodynam Earth Sci, Beijing, Peoples R China
来源：
2014 7TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP 2014) | 2014年
关键词：
no-reference image quality assessment; dual-tree complex wavelet transform energy; support vector regressor; NATURAL SCENE STATISTICS;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
As discrete wavelet transform (DWT) is short in shift invariance and directionality, we proposed a no-reference image quality assessment (IQA) method based on dual-tree complex wavelet transform (DTCWT). In this method, an image is decomposed by DTCWT firstly. Then the energy value of each sub-band is calculated. Finally a support vector regressor (SVR) is adopted to predict image quality score. Experimental results show that our method is consistent well with human perception and has a low computational complexity.
引用
收藏
页码：596 / 601
页数：6
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