A Review on No-reference Quality Assessment for Blurred Image

被引：0
作者：
Chen J. [1 ,2 ,3 ]
Li S.-Y. [1 ]
Lin L. [1 ,2 ]
Wang M. [1 ]
Li Z.-Y. [3 ]
机构：
[1] School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou
[2] National Demonstration Center for Experimental Electronic Information and Electrical Technology Education (Fujian University of Technology), Fuzhou
[3] Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University), Fuzhou
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2022年 / 48卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Blurred image; Database; Image quality assessment; No-reference image quality assessment;
D O I：
10.16383/j.aas.c201030
中图分类号：
TP392 [各种专用数据库];
学科分类号：
摘要：
The blurriness distortion of image affects information perception, acquisition and subsequent processing. No-reference blurred image quality assessment is one of main research directions for the problem. This paper analyzes the relevant technique development of no-reference blurred image quality assessment in recent 20 years. Firstly, combining with main databases, different types of blurriness distortions are described. Secondly, main methods for no-reference blurred image quality assessment are classified and analyzed in detail. Thirdly, performance measures for no-reference blurred image assessment are introduced. Then, the typical databases, performance measures and methods are introduced for performance comparisons. Finally, the relevant technologies and development trends of no-reference blurred image assessment are summarized and prospected. Copyright ©2022 Acta Automatica Sinica. All rights reserved.
引用
收藏
页码：689 / 711
页数：22
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