TR2013-087

Synthesis Distortion Estimation in 3D Video Using Frequency and Spatial Analysis

    •  Fang, L., Cheung, N.-M., Tian, D., Vetro, A., Sun, H., Yu, L., "Synthesis Distortion Estimation in 3D Video Using Frequency and Spatial Analysis", IEEE International Conference on Image Processing (ICIP), September 2013.
      BibTeX TR2013-087 PDF
      • @inproceedings{Fang2013sep,
      • author = {Fang, L. and Cheung, N.-M. and Tian, D. and Vetro, A. and Sun, H. and Yu, L.},
      • title = {Synthesis Distortion Estimation in 3D Video Using Frequency and Spatial Analysis},
      • booktitle = {IEEE International Conference on Image Processing (ICIP)},
      • year = 2013,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2013-087}
      • }
  • MERL Contacts:
  • Research Area:

    Digital Video

Abstract:

We propose an analytical model to estimate the synthesized view quality in 3D video. Specifically, we estimate the depth-error induced distortion using an approach that combines frequency and spatial domain analysis. We also propose to decompose the spatial-variant video signals into gradient-based representations to capture the interaction between image gradients, depth errors and synthesis distortion. Experiment results with video sequences and coding/rendering tools used in MPEG 3DV activities show that our analytical model can accurately estimate the synthesis noise power.