Image Quality Assessment and Human Visual System

被引：16

作者：

Gao, Xinbo ^{[1
]}

Lu, Wen ^{[1
]}

Tao, Dacheng ^{[2
]}

Li, Xuelong ^{[3
]}

机构：

[1] Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China

[2] Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore

[3] Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China

来源：

VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2010 | 2010年 / 7744卷

关键词：

Image quality assessment; human visual system; visual physiology; visual psychophysics; bionics methods; engineering methods; MODEL; VISIBILITY; CONTOURLET;

D O I：

10.1117/12.862431

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

This paper summaries the state-of-the-art of image quality assessment (IQA) and human visual system (HVS). IQA provides an objective index or real value to measure the quality of the specified image. Since human beings are the ultimate receivers of visual information in practical applications, the most reliable IQA is to build a computational model to mimic the HVS. According to the properties and cognitive mechanism of the HVS, the available HVS-based IQA methods can be divided into two categories, i.e., bionics methods and engineering methods. This paper briefly introduces the basic theories and development histories of the above two kinds of HVS-based IQA methods. Finally, some promising research issues are pointed out in the end of the paper.

引用

页数：10