In order to establish a stereoscopic image quality assessment method which is consistent with human visual perception,we propose an objective stereoscopic image quality assessment method.It takes into account the stro...In order to establish a stereoscopic image quality assessment method which is consistent with human visual perception,we propose an objective stereoscopic image quality assessment method.It takes into account the strong correlation and high degree of structural between pixels of image.This method contains two models.One is the quality synthetic assessment of left-right view images,which is based on human visual characteristics,we use the Singular Value Decomposition(SVD)that can represent the degree of the distortion,and combine the qualities of left and right images by the characteristics of binocular superposition.The other model is stereoscopic perception quality assessment,due to strong stability of image’s singular value characteristics,we calculate the distance of the singular values and structural characteristic similarity of the absolute difference maps,and utilize the statistical value of the global error to evaluate stereoscopic perception.Finally,we combine two models to describe the stereoscopic image quality.Experimental results show that the correlation coefficients of the proposed assessment method and the human subjective perception are above 0.93,and the mean square errors are all less than 6.2,under JPEG,JP2K compression,Gaussian blurring,Gaussian white noise,H.264 coding distortion,and hybrid cross distortion.It indicates that the proposed stereoscopic objective method is consistent with human visual properties and also of availability.展开更多
根据人眼对彩色图像不同颜色通道的敏感度不同,利用掩蔽效应对人眼感知立体图像质量产生的影响,提出了一种基于视觉阈值分析和通道融合的彩色图像客观质量评价方法。利用人眼视觉阈值确定立体图像的失真是否在人眼可察觉的范围,若失真...根据人眼对彩色图像不同颜色通道的敏感度不同,利用掩蔽效应对人眼感知立体图像质量产生的影响,提出了一种基于视觉阈值分析和通道融合的彩色图像客观质量评价方法。利用人眼视觉阈值确定立体图像的失真是否在人眼可察觉的范围,若失真程度小于视觉掩蔽阈值,则认为没有失真。利用原始和失真彩色图像RGB三通道各自左视点差值图和右视点差值图的奇异值与人眼视觉掩蔽阈值图的奇异值距离来衡量失真图像左右视点图像的质量。原始和失真图像对的绝对差图之差值图像和原始图像对的双目恰可察觉失真阈值图之间的奇异值距离被用于评价失真立体图像的深度感知好坏。不同失真类型下,左右视点质量融合以及左右视点评价和深度感知评价的融合其加权权值不同。对JPEG压缩、JPEG2000压缩、高斯白噪声、高斯模糊和H.264编码5种不同程度失真的312幅退化图像进行了测试,结果显示本文方法与主观感知有较好的一致性,总体CC(Pearson Linear Correlation Coefficient)达到0.94,总体SROCC(Spearman Rank Order Correlation Coefficient)达到0.94,整体均方根误差(RMSE)控制在5.9以内。展开更多
基金Supported by the National Natural Science Foundation of China(Nos.6117116361271270+2 种基金6127102161111140392)National Science and Technology Support Program(2012BAH67F01)
文摘In order to establish a stereoscopic image quality assessment method which is consistent with human visual perception,we propose an objective stereoscopic image quality assessment method.It takes into account the strong correlation and high degree of structural between pixels of image.This method contains two models.One is the quality synthetic assessment of left-right view images,which is based on human visual characteristics,we use the Singular Value Decomposition(SVD)that can represent the degree of the distortion,and combine the qualities of left and right images by the characteristics of binocular superposition.The other model is stereoscopic perception quality assessment,due to strong stability of image’s singular value characteristics,we calculate the distance of the singular values and structural characteristic similarity of the absolute difference maps,and utilize the statistical value of the global error to evaluate stereoscopic perception.Finally,we combine two models to describe the stereoscopic image quality.Experimental results show that the correlation coefficients of the proposed assessment method and the human subjective perception are above 0.93,and the mean square errors are all less than 6.2,under JPEG,JP2K compression,Gaussian blurring,Gaussian white noise,H.264 coding distortion,and hybrid cross distortion.It indicates that the proposed stereoscopic objective method is consistent with human visual properties and also of availability.
文摘根据人眼对彩色图像不同颜色通道的敏感度不同,利用掩蔽效应对人眼感知立体图像质量产生的影响,提出了一种基于视觉阈值分析和通道融合的彩色图像客观质量评价方法。利用人眼视觉阈值确定立体图像的失真是否在人眼可察觉的范围,若失真程度小于视觉掩蔽阈值,则认为没有失真。利用原始和失真彩色图像RGB三通道各自左视点差值图和右视点差值图的奇异值与人眼视觉掩蔽阈值图的奇异值距离来衡量失真图像左右视点图像的质量。原始和失真图像对的绝对差图之差值图像和原始图像对的双目恰可察觉失真阈值图之间的奇异值距离被用于评价失真立体图像的深度感知好坏。不同失真类型下,左右视点质量融合以及左右视点评价和深度感知评价的融合其加权权值不同。对JPEG压缩、JPEG2000压缩、高斯白噪声、高斯模糊和H.264编码5种不同程度失真的312幅退化图像进行了测试,结果显示本文方法与主观感知有较好的一致性,总体CC(Pearson Linear Correlation Coefficient)达到0.94,总体SROCC(Spearman Rank Order Correlation Coefficient)达到0.94,整体均方根误差(RMSE)控制在5.9以内。
