Approach to video image quality assessment by incorporating HVS characteristics

doi:10.3778/j.issn.1002-8331.2009.27.055

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (27): 181-183.DOI: 10.3778/j.issn.1002-8331.2009.27.055

• 图形、图像、模式识别 • Previous Articles Next Articles

Approach to video image quality assessment by incorporating HVS characteristics

BAI Yong-qiang^1，2，ZHU Zhong-jie^1，2，DUAN Zhi-yong¹，LIANG Feng²

1.Physical Engineering College，Zhengzhou University，Zhengzhou 450001，China
2.Ningbo Key Lab of DSP，Zhejiang Wanli University，Ningbo，Zhejiang 315100，China

Received:2008-05-22 Revised:2008-07-31 Online:2009-09-21 Published:2009-09-21
Contact: BAI Yong-qiang

结合HVS特性的视频图像质量评价

白永强^1，2，朱仲杰^1，2，段智勇¹，粱丰²

1.郑州大学物理工程学院，郑州 450001
2.浙江万里学院宁波市DSP重点实验室，浙江宁波 315100

通讯作者: 白永强

Abstract

Abstract: A new algorithm for video image quality assessment is proposed based on the basic HVS characteristics such as visual non-linearity，contrast sensitivity，multi-channel model and so on.Video images are firstly performed wavelet decomposition and then some main visual characteristics are extracted from wavelet coefficients.Following that a perceptual metric is established.Finally，the whole assessment algorithm is presented.Experimental results show that the proposed algorithm outperforms conventional objective image quality methods such as PSNR.

Key words: image quality assessment, human visual system, wavelet transform, contrast sensitivity function

摘要： 在分析视觉非线性、对比敏感度、多通道结构等人类基本视觉特性的基础上，提出了一种结合人眼视觉系统特性（HVS）的视频图像质量评价新方法。该方法首先对图像信号进行小波分解，基于小波域提取视觉特征参数，然后建立符合人眼视觉感知特性的图像质量评价指标，在此基础上给出具体评价算法。仿真实验结果表明，在视频图像压缩编码中采用本算法的图像质量评价性能优于传统的客观评价方法。

关键词: 图像质量评估, 人类视觉系统, 小波变换, 对比敏感度函数

CLC Number:

TP391

BAI Yong-qiang^1，2，ZHU Zhong-jie^1，2，DUAN Zhi-yong¹，LIANG Feng². Approach to video image quality assessment by incorporating HVS characteristics[J]. Computer Engineering and Applications, 2009, 45(27): 181-183.

白永强^1，2，朱仲杰^1，2，段智勇¹，粱丰². 结合HVS特性的视频图像质量评价[J]. 计算机工程与应用, 2009, 45(27): 181-183.

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Approach to video image quality assessment by incorporating HVS characteristics

结合HVS特性的视频图像质量评价

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