Non-reference virtual view quality evaluation of MVD

作     者：张艳 安平 张秋闻 王元庆 张兆杨 ZHANG Yan1,2,AN Ping2,3,ZHANG Qiu-wen1,WANG Yuan-qing4,ZHANG Zhao-yang1,31.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

作者机构：School of Communication and Information EngineeringShanghai University Department of Computer Science and TechnologyAnhui University of Finance and EconomicsBengbu 230030AnhuiP.R.China Key Laboratory of Advanced Display and System Application (shanghai University)Ministry of Education Department of Electronics Science and EngineeringNanjing University 

出 版 物：《Journal of Shanghai University(English Edition)》 (上海大学学报（英文版）)

年 卷 期：2011年第15卷第4期

页      面：342-346页

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：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) the Natural Science Foundation of Anhui Higher Education Institutions of China(Grant No.KJ2011Z008) 

主　　题：non-reference quality evaluation virtual view multi-view video (MVD) plus depth free viewpoint television (FTV) 

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.