基于三维感知的立体虚拟视点图像质量评价方法
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(宁波大学 信息科学与工程学院,浙江 宁波 315211)

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陈芬(1973-),女,四川邻水人,博士,副教授,硕士生导师,主要从事高清3D视频技术、多媒体信息处理与通信技术等方面的研究.

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国家自然科学基金(61771269,2,U1301257)和浙江省自然科学基金(LY16F010002,LY15F010005,LY17F010005)资助项目 (宁波大学 信息科学与工程学院,浙江 宁波 315211)


Stereo virtual view quality assessment based on three-dimensional perception
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(Faculty of Information Science and Engineering,Ningbo University,Ningbo 315211,China)

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    摘要:

    为了评价立体虚拟视点图像的质量,提出了一种基 于三维感知的客观评价方法。综合考虑了立体虚拟视点图像两大最主要失真类型:单视点绘 制失真和立体视点不匹配失真。针对单视点绘制失真,先提取 当前视点失真图与无失真图的差异性区域,再针对该差异性区域计算平均结构相似度(MSSIM ),最后将左 右视点平均池化作为单目纹理特征值;针对立体视点不匹配失真,先对左右视点失真图分别 进行视差映射, 再提取映射图与该视点失真图的差异区域作为双目不匹配区域,然后针对不匹配区域计算MS SIM 值,最 后将左右视点平均池化作为双目竞争特征值;最终将两个特征值幂次融合,作为最终的立体 虚拟视点图像 质量评价客观指标。实验结果表明本方法有效匹配主观打分的DMOS值,皮尔森线性相关系数 和斯皮尔曼 秩相关系数分别为0.911和0.900,正确反映了 立体虚拟视点图像质量。

    Abstract:

    In order to evaluate the quality of a stereoscopic virtual view image,an objective assessment based on three-dimensio nal perception is proposed.Two major distortion types of stereoscopic virtual vi ew images,single view rendering distortion and stereo view mismatch distortion,are considered.Fo r the single view rendering distortion, firstly,the different region between the original image and the distorted image will be extracted;secondly,the mean structural similarity index will be calculated for this region;finally,the left and right viewpoints will be averagely pooled as the monocular texture feature.For the stereo view mismatch d istortion,firstly,the left and right view distorted images will be mapped to each other respectively;secondly,the di fferent region between the mapped and the original images will be extracted as binocular mismatch region;thirdly, the mean structural similarity index will be calculated for this region;finally,the left and right viewpoints will be averagely pooled as the binocular competition feature;lastly,the two features will be converged as the objective q uality of stereoscopic virtual view image.Experimental results show that our method matches the DMOS effectively,the Pearson linear correlation coefficient is 0.911and the Spearman rank order correlation coefficient is 0.900,so the stereoscopic virtual view image quality is accurately reflected.

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汤锐彬,陈芬,彭宗举.基于三维感知的立体虚拟视点图像质量评价方法[J].光电子激光,2018,29(8):893~902

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  • 收稿日期:2017-10-30
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  • 在线发布日期: 2018-09-11
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