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An image quality metric based on bionic models
HOU Weilong 1,GAO Xinbo 2 *,HE Lihuo 2,GAO Fei 2
1.VIPS Lab and Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Electronic Engineering, Xidian University
2.VIPS Lab and Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Electronic Engineering, Xidian University, Xi'an 710071, P.R. China
*Correspondence author
#Submitted by
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Funding: Supported by the Ph.D. Programs Foundation of Ministry of Education of China （No.No. 20090203110002, 20090203120011）
Opened online:29 August 2011
Accepted by: none
Citation: HOU Weilong,GAO Xinbo,HE Lihuo.An image quality metric based on bionic models[OL]. [29 August 2011] http://en.paper.edu.cn/en_releasepaper/content/4440162
 
 
Image quality evaluation is to use some computational models to predict the quality of the specified image automatically and accurately. Since human eyes are ultimate receptor of images, it is better to mimic human visual system (HVS) to perceive the image quality. Based on the properties of the HVS, a novel bionic image quality metric (IQA) is proposed, which adopts several bionic characteristics, e.g. multi-channel decomposition, contrast sensitivity function, center-surround operation and lateral inhibition mechanism. Experimental results demonstrate that the performance of the proposed IQA method outperforms those of the existing methods.
Keywords:Image Quality Assessment; Human Visual System; Visual Attention
 
 
 

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