Image Quality Assessment Method Based on Contrast Sensitivity Characteristics of Human Vision System

YAO Jun-cai

doi:10.3788/YJYXS20112603.0390

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Image Quality Assessment Method Based on Contrast Sensitivity Characteristics of Human Vision System

Imaging Technology & Image Processing | 更新时间：2020-08-12

- Image Quality Assessment Method Based on Contrast Sensitivity Characteristics of Human Vision System
- Chinese Journal of Liquid Crystals and Displays Vol. 26, Issue 3, Pages: 390-396(2011)
- 作者机构：
  
  陕西理工学院物理系,陕西汉中,723000
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20112603.0390
  CLC： TP309;TP391
- Received：25 November 2010，
  
  Revised：14 December 2010，
  
  Published Online：20 June 2011，
  
  Published：20 June 2011
- 稿件说明：
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姚军财. 基于人眼对比度敏感视觉特性的图像质量评价方法[J]. 液晶与显示, 2011,26(3): 390-396

YAO Jun-cai. Image Quality Assessment Method Based on Contrast Sensitivity Characteristics of Human Vision System[J]. , 2011,26(3): 390-396
姚军财. 基于人眼对比度敏感视觉特性的图像质量评价方法[J]. 液晶与显示, 2011,26(3): 390-396 DOI： 10.3788/YJYXS20112603.0390.

YAO Jun-cai. Image Quality Assessment Method Based on Contrast Sensitivity Characteristics of Human Vision System[J]. , 2011,26(3): 390-396 DOI： 10.3788/YJYXS20112603.0390.

摘要

结合传统采用的均方误差和峰值信噪比评价灰度图像质量的统计方法和色差描述彩色图像差异的特点

提出了一种基于人眼视觉特性的色差均方误差和色差峰值信噪比统计参数的评价彩色图像质量的方法

并通过实验进行了验证。实验结果与德克萨斯大学奥斯汀分校的LIVE图像库中的图像主观评价结果基本符合

表明所提出的方法不仅从统计意义上有效地反映了局部甚至像点间的差别

而且由于该统计方法同时考虑了人眼视觉特性

提高了客观评价与主观评价的一致性。

Abstract

Combined the traditional gray image quality assessment method described by the mean square error and peak signal to noise ratio and color differences to describe color image difference

a color image quality assessment method described by the color difference MSE and color difference PSNR statistical parameters based on human vision system is proposed

which is validated by the experiments. Experimental results match the subjective image quality assessment provided by LIVE subjective image library

University of Texas at Austin very much

which shows that the method not only effectively reflects the difference among the local location or points from the statistical significance

and at the same time

which improves the consistency between the objective evaluation and subjective evaluation because the statistical method takes into account the human vision system characteristics.

关键词

Keywords

references

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