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| Reduced-reference Quality Assessment Model of Stereoscopic Image Based on Visual Perception and Zero-watermark |
| Zhou Wu-jie①② Yu Mei①③ Jiang Gang-yi①③ Peng Zong-ju① Shao Feng① |
①(Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China)
②(School of Information and Electronic Engineering, Zhejiang University of Science & Technology, Hangzhou 310023,China)
③(National Key Lab of Software New Technology, Nanjing University, Nanjing 210093, China) |
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Abstract Through analyzing the image structure direction characteristics and the stereoscopic perception of human visual system, and combining semi-fragile digital watermarking and Support Vector Regression (SVR), a reduced-reference stereoscopic image quality assessment model based on visual perception and zero-watermark is proposed. In this model, the view zero-watermark is constructed by judging the relation of the horizontal and vertical wavelet coefficients, which can reflect the image structure information. Meanwhile, the disparity zero-watermark that reflects the stereoscopic perception quality is constructed by using the disparity between the left and right views. And then the relativity of two watermark-recovering rates (watermark-recovering rates of the view and disparity zero-watermarks) and subjective quality scores can be learned by the training procedure of SVR. Finally, stereoscopic image quality is predicted by trained SVR. Experimental results show that the proposed reduced-reference model is in accordance with human visual characteristics, and consistent with the result of subjective evaluation value preferably.
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Received: 03 November 2011
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Corresponding Authors:
Jiang Gang-yi
E-mail: jianggangyi@126.com
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2012, Vol. 34 
