摘要
通过将参考图像与失真图像表示为纯四元数矩阵,提出了一种用于检测两幅图像视觉显著性区域的四元数谱余量方法。将该方法与四元数梯度特征作为指标构建彩色图像质量评价方法,并将视觉显著性作为评价指标的权值。利用Spearman等级相关系数(SROCC)、Kendall等级相关系数、Pearson线性相关系数及均方误差平方根4种客观评价指标在TID2013与CSIQ数据库中进行数值实验,结果表明,所提算法在TID2013上的SROCC值为0.8169,且与人的主观评价相匹配。
The quaternion spectral residual method for detecting the visual saliency regions of two images is proposed,by expressing the reference image and the distorted image as a pure quaternion matrix.Then both the method and the quaternion gradient features are employed to design color image quality evaluation,as well as visual saliency as the weight of the evaluation index.Numerical experiments are conducted on the TID2013 and CSIQ databases to calculate four kinds of objective evaluation indexes such as the Spearman rank correlation coefficient(SROCC),the Kendall rank correlation coefficient,the Pearson linear correlation coefficient,and the root mean squared error.The results show that the experimental SROCC value on TID2013 reaches 0.8169,which matches the subjective evaluation of humans.
作者
岳靖
刘国军
付浩
Yue Jing;Liu Guojun;Fu Hao(School of Mathematics&Statistics,Ningxia University,Yinchuan,Ningxia 750021,China)
出处
《激光与光电子学进展》
CSCD
北大核心
2019年第3期145-152,共8页
Laser & Optoelectronics Progress
基金
国家自然科学基金(61461043)
宁夏自然科学基金(2018AAC03014)
关键词
图像处理
彩色图像质量评价
四元数
谱余量
视觉显著性
image processing
color image quality assessment
quaternion
spectral residual
visual saliency
