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Non-reference virtual view quality evaluation of MVD

期刊名称：Journal of Shanghai University
时间：0
页码：342-346
分类：TP311.13[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术] X824[环境科学与工程—环境工程]
作者机构：[1]School of Communication and Information Engineering, Shanghai University, Shanghai 200072, P. R. China, [2]Department of Computer Science and Technology, Anhui University of Finance and Economics, Bengbu 230030, Anhui, P. R. China, [3]Key Laboratory of Advanced Display and System Application （shanghai University）, Ministry of Education, Shanghai 200072, P. R. China, [4]Department of Electronics Science and Engineering, Nanjing University, Nanjing 210093, P. R. China
相关基金：Project supported by the National Natural Science Foundation of China （Grant No.60832003）, the Key Laboratory of Advanced Display and System Application （Shanghai University）, Ministry of Education, China （Grant No.p200902）, the Science and Technology Commission of Shanghai Municipality （Grant No.10510500500）, and the Natural Science Foundation of Anhui Higher Education Institutions of China （Grant No.KJ2011Z008）Acknowledgements We would like to thank Heinrich-Hertz-Institute （HHI）, Nagoya University/Tanimoto Laboratory, Electronics and Telecommunications Research Institute （ETRI）, and Gwangju Institute of Science and Technology （GIST） for providing the experimental materials.
相关项目：自由视点多视视频编码及3D立体显示基础理论与关键技术

关键词：虚拟视图, 质量评价, MVD, 图像合成, 纹理贴图, 主观判断, PSNR, 视图合成, non-reference quality evaluation, virtual view, multi-view video （MVD） plus depth, free viewpoint television （FTV）

中文摘要：

基于加深度的多看法录像(MVD ) ，格式经常是的虚拟看法的质量由 PSNR 评估了或主观上判定了。然而，由于综合，任意的看法想象，虚拟看法图象主要没有参考图象并且仅仅用非参考被估计。虚拟看法图象由评价引用软件(DERS ) 和看法合成引用软件(VSRS ) 经常在边上与短而粗和另外的失真伴随了的深度综合了。另外，为深度地图和左、正确的看法的相应质地地图匹配水平也影响虚拟看法的质量。这份报纸比较深度和产生中间的虚拟看法的相应质地地图的边类似并且与哪个的虚拟看法短而粗结合了引起污迹评估虚拟看法的质量。实验结果证明建议方法能更好反映虚拟看法的质量。

英文摘要：

The quality of virtual view based on multi-view video （MVD） plus depth format is often evaluated by PSNR or subjectively judged. However, due to synthesizing arbitrary view images, the virtual view images mostly have no reference images and are only assessed using non-reference. Virtual view images synthesized by depth estimation reference software （DERS） and view synthesis reference software （VSRS） often accompanied with blockiness and other distortions on the edge. In addition, matching level for the depth map and the corresponding texture maps of left and right views also affects the quality of the virtual view. This paper compares the edge similarity of the depth and the corresponding texture maps which generate the intermediate virtual view and combined with the virtual view＇s blockiness which causing blur to evaluate the quality of the virtual view. Experiment results show that the proposed method can reflect the quality of the virtual view better.

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