DISCRETE WAVELET TRANSFORM-BASED STRUCTURAL SIMILARITY FOR IMAGE QUALITY ASSESSMENT

被引：0
|
作者：
Yang, Chun-Ling [1 ,2 ]
Gao, Wen-Rui [1 ]
Po, Lai-Man [2 ]
机构：
[1] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Guangdong, Peoples R China
[2] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China
来源：
2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5 | 2008年
基金：
中国国家自然科学基金;
关键词：
image processing; image quality assessment; human visual system (HVS);
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Image quality assessment method plays a major role in image processing. Structural similarity (SSIM) is a novel image quality assessment method, and attracts a lot of attentions for its good performance and simple calculation. But it is proposed in pixel domain, a large computation load is introduced when using it to guide image processing algorithm in discrete wavelet transform (DWT) domain. And image processing in DWT domain has been very common. This paper proposes a discrete wavelet transform-based structural similarity (DWT-SSIM) method for image quality assessment. As it highlights human eyes' sensitive frequency bands, the proposed measure has a better correlation with the judgment of human observers than SSIM. Furthermore, the method is easy to implement and embed in DWT domain processing algorithms.
引用
收藏
页码：377 / 380
页数：4
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