应用log-Gabor韦伯特征的图像质量评价

卢彦飞; 张涛; 章程

doi:10.3788/OPE.20152311.3259

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应用log-Gabor韦伯特征的图像质量评价

信息科学 | 更新时间：2020-08-13

- 应用log-Gabor韦伯特征的图像质量评价
- Image quality assessment using log-Gabor Weber feature
- 光学精密工程 2015年23卷第11期页码：3259-3269
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
  2. 中国科学院大学北京,中国,100049
  3. 中国科学院苏州生物医学工程技术研究所,江苏苏州,中国,215163
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目(No.61201117,No.61301042)();国家重大科学仪器设备开发专项资助项目(No.2011YQ040082)();国家科技支撑
- DOI：10.3788/OPE.20152311.3259
  中图分类号： TP391.4
- 收稿日期：2015-03-06，
  
  修回日期：2015-04-16，
  
  纸质出版日期：2015-11-25
- 稿件说明：
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卢彦飞, 张涛, 章程. 应用log-Gabor韦伯特征的图像质量评价[J]. 光学精密工程, 2015,23(11): 3259-3269

LU Yan-fei, ZHANG Tao, ZHANG Cheng. Image quality assessment using log-Gabor Weber feature[J]. Editorial Office of Optics and Precision Engineering, 2015,23(11): 3259-3269
卢彦飞, 张涛, 章程. 应用log-Gabor韦伯特征的图像质量评价[J]. 光学精密工程, 2015,23(11): 3259-3269 DOI： 10.3788/OPE.20152311.3259.

LU Yan-fei, ZHANG Tao, ZHANG Cheng. Image quality assessment using log-Gabor Weber feature[J]. Editorial Office of Optics and Precision Engineering, 2015,23(11): 3259-3269 DOI： 10.3788/OPE.20152311.3259.

摘要

考虑人眼对亮度的感知符合韦伯定律的特点

本文利用log-Gabor滤波器模拟人眼对图像的感知过程

提出了一种新的log-Gabor韦伯特征

以便保留不同尺度的符合人眼感知的结构信息。基于此

还提出了一种应用log-Gabor韦伯特征的图像质量评价方法。首先将待评价失真图像和参考图像从RGB空间转换到YIQ颜色空间

分离亮度分量和颜色分量。然后利用log-Gabor韦伯特征和梯度特征计算亮度分量失真

并结合颜色分量的失真

得到失真图像与参考图像的局部相似度图。最后利用修正的CSF函数

对局部相似度图进行加权

得到图像质量评价指标。在LIVE、CSIQ和IVC3个图像库上的实验结果表明

本文方法与人眼主观感知有很好的一致性

而且相对于其他方法

表现更加稳定。本文方法在3个图像库上的加权Spearman秩相关系数(SROCC)为0.9498

Kendall秩相关系数(KROCC)为0.8026

Pearson线性相关系数(PLCC)为0.9438

相比对比方法有显著的提高。

Abstract

As human eye perception for the brightness accords with the Weber's law

this paper uses the log Gabor filter to simulate the human eye perception for an image and proposes a new log Gabor Weber characteristics to keep the structural information interested by human for different scales. To assess the image quality more effectively

a new image quality assessment method was proposed by using log-Gabor Weber feature. The log-Gabor filter and Weber's law were used to obtain a new feature named log-Gabor Weber feature(LGW). Firstly

the distorted image and reference image were transformed from the RGB color space into a YIQ color space to separate the luminance component and the chromatic component. Then

the LGW feature and gradient feature were used to calculate the distortion of luminance component. Furthermore

the distortion of chromatic component was integrated to get the local similarity map between distorted image and reference image. Finally

a modified CSF pooling strategy was applied to the overall local similarity map to obtain the final image quality index. The experimental results on three benchmark image databases

LIVE

CSIQ and IVC

indicate that the proposed method owns a good consistency with human subjective perception and it has a more stable performance as compared with other state-of-the-art methods. The weighted Spearman Rank Order Correlation Coefficient(SROCC)

Kendallrank-order Correlation Coefficient(KROCC) and the Pearsonlinear Correlation Coefficient

PLCC) values on three databases by the proposed method are 0.9498

0.8026 and 0.9438

respectively

which notably outperform other methods.

关键词

Keywords

references

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