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Proceedings Paper

Image quality assessment and human visual system
Author(s): Xinbo Gao; Wen Lu; Dacheng Tao; Xuelong Li
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Paper Abstract

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.

Paper Details

Date Published: 4 August 2010
PDF: 10 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77440Z (4 August 2010); doi: 10.1117/12.862431
Show Author Affiliations
Xinbo Gao, Xidian Univ. (China)
Wen Lu, Xidian Univ. (China)
Dacheng Tao, Nanyang Technological Univ. (Singapore)
Xuelong Li, Xi'an Institute of Optics and Precision Mechanics (China)


Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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