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No-reference image quality assessment using structural activity

delete2011-11-01
delete28
PRE
AI
J
Jing Zhang *
S
Sim Heng Ong
T
Truong Q. Nguyen
DOI:10.1016/j.sigpro.2011.05.011delete
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摘要

摘要

En 中文
Presuming that human visual perception is highly sensitive to the structural information in a scene, we propose the concept of structural activity (SA) together with a model of SA indicator in a new framework for no-reference (NR) image quality assessment (QA) in this study. The proposed framework estimates image quality based on the quantification of the SA information of different visual significance. We propose some alternative implementations of SA indicator in this paper as examples to demonstrate the effectiveness of the SA-motivated framework. Comprehensive testing demonstrates that the model of SA indicator exhibits satisfactory performance in comparison with subjective quality scores as well as representative full-reference (FR) image quality measures. (C) 2011 Elsevier B.V. All rights reserved.
Keyword:
Image quality assessment
No-reference image quality assessment
Structural activity
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期刊

Signal Processing 封面图
Signal Processing
IF:
3.6
论文数:
9.9K
被引数:
1.7W

机构

University of California System 封面图
University of California System
学者数:
37.5W
论文数: 33.7W
被引数: 6.6K
N
National University of Singapore
学者数:
7.6W
论文数: 6.5W
被引数: 11.4W
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