Image quality of up-converted 2D video from frame-compatible 3D video

被引:0
|
作者
Speranza, Filippo [1 ]
Tam, Wa James [1 ]
Vazquez, Carlos [1 ]
Renaud, Ron [1 ]
Blanchfield, Phil [1 ]
机构
[1] Commun Res Ctr Canada, Ottawa, ON K2H 8S2, Canada
关键词
3DTV; frame-compatible; picture quality; DSIS;
D O I
10.1117/12.877391
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In the stereoscopic frame-compatible format, the separate high-definition left and high-definition right views are reduced in resolution and packed to fit within the same video frame as a conventional two-dimensional high-definition signal. This format has been suggested for 3DTV since it does not require additional transmission bandwidth and entails only small changes to the existing broadcasting infrastructure. In some instances, the frame-compatible format might be used to deliver both 2D and 3D services, e.g., for over-the-air television services. In those cases, the video quality of the 2D service is bound to decrease since the 2D signal will have to be generated by up-converting one of the two views. In this study, we investigated such loss by measuring the perceptual image quality of 1080i and 720p up-converted video as compared to that of full resolution original 2D video. The video was encoded with either a MPEG-2 or a H. 264/AVC codec at different bit rates and presented for viewing with either no polarized glasses (2D viewing mode) or with polarized glasses (3D viewing mode). The results confirmed a loss of video quality of the 2D video up-converted material. The loss due to the sampling processes inherent to the frame-compatible format was rather small for both 1080i and 720p video formats; the loss became more substantial with encoding, particularly for MPEG-2 encoding. The 3D viewing mode provided higher quality ratings, possibly because the visibility of the degradations was reduced.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Photorealistic Face Transfer in 2D and 3D Video
    Merget, Daniel
    Tiefenbacher, Philipp
    Babaee, Mohammadreza
    Mitov, Nikola
    Rigoll, Gerhard
    PATTERN RECOGNITION, GCPR 2015, 2015, 9358 : 400 - 411
  • [32] 2D and 3D video digitizing with a web browser
    Byrd, M. A.
    Hedrick, T. L.
    INTEGRATIVE AND COMPARATIVE BIOLOGY, 2021, 61 : E1072 - E1072
  • [33] 2D and 3D Video Scene Text Classification
    Xu, Jiamin
    Shivakumara, Palaiahnakote
    Lu, Tong
    Tan, Chew Lim
    2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2014, : 2932 - 2937
  • [34] Converting 2D Soccer Video to 3D Cartoon
    Ngo, VietAnh
    Cai, Jianfei
    2008 10TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION: ICARV 2008, VOLS 1-4, 2008, : 103 - 107
  • [35] Watermark recovery from 2D views of a 3D video object
    Garcia, E
    Dugelay, JL
    SECURITY AND WATERMARKING OF MULTIMEDIA CONTENTS V, 2003, 5020 : 471 - 480
  • [36] Learning to Produce 3D Media From a Captured 2D Video
    Park, Minwoo
    Luo, Jiebo
    Gallagher, Andrew C.
    Rabbani, Majid
    IEEE TRANSACTIONS ON MULTIMEDIA, 2013, 15 (07) : 1569 - 1578
  • [37] Converting 2D Video to 3D: An Efficient Path to a 3D Experience
    Cao, Xun
    Bovik, Alan C.
    Wang, Yao
    Dai, Qionghai
    IEEE MULTIMEDIA, 2011, 18 (04) : 12 - 17
  • [38] 2D to 3D video conversion with key-frame depth propagation and trilateral filtering
    Lie, W. -N.
    Chen, C. -Y.
    Chen, W. -C.
    ELECTRONICS LETTERS, 2011, 47 (05) : 319 - 320
  • [39] 3D Color Video Conversion from 2D Video Sequence Using Stereo Matching Technique
    Ramos-Diaz, Eduardo
    Cruz-Irisson, Miguel
    Nino-de-Rivera, Luis
    Ponomaryov, Volodymyr
    2009 52ND IEEE INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1 AND 2, 2009, : 739 - 742
  • [40] Automatic 2D to 3D Video and Image Conversion Based On Global Depth Map
    Mathai, Shelmy
    Mathai, Paul P.
    Divya, K. A.
    2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (ICCIC), 2015, : 619 - 622