Paper
4 August 2010 Image quality assessment and human visual system
Xinbo Gao, Wen Lu, Dacheng Tao, Xuelong Li
Author Affiliations +
Proceedings Volume 7744, Visual Communications and Image Processing 2010; 77440Z (2010) https://doi.org/10.1117/12.862431
Event: Visual Communications and Image Processing 2010, 2010, Huangshan, China
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xinbo Gao, Wen Lu, Dacheng Tao, and Xuelong Li "Image quality assessment and human visual system", Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77440Z (4 August 2010); https://doi.org/10.1117/12.862431
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CITATIONS
Cited by 33 scholarly publications and 1 patent.
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KEYWORDS
Image quality

Visualization

Visual system

Video

Distortion

Image processing

Visual process modeling

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