IMAGE QUALITY ASSESSMENT BASED ON DETAIL DIFFERENCES

被引：0
|
作者：
Di Claudio, Elio D. [1 ]
Jacovini, Giovanni [1 ]
机构：
[1] Univ Roma La Sapienza, DIET, Dept Informat Engn Elect & Telecommun, Via Eudossiana 18, I-00187 Rome, Italy
来源：
2014 PROCEEDINGS OF THE 22ND EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2014年
关键词：
Image quality assessment; gradient tensor; virtual cognitive space; VICOM; detail analysis;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a novel Full Reference method for image quality assessment based on two indices measuring respectively detail loss and spurious detail addition. These indices define a two dimensional (2D) state in a Virtual Cognitive State (VCS) space. The quality estimation is obtained as a 2D function of the VCS, empirically determined via polynomial fitting of DMOS values of training images. The method provides at the same time highly accurate DMOS estimates, and a quantitative account of the causes of quality degradation.
引用
收藏
页码：551 / 555
页数：5
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