Objective image quality assessment of 3D synthesized views.pdfVIP

Signal Processing: Image Communication 30 (2015) 78–88 Contents lists available at ScienceDirect Signal Processing: Image Communication journal homepage: /locate/image Objective image quality assessment of 3D synthesized views Federica Battisti a, Emilie Bosc b, Marco Carli a, Patrick Le Callet b, Simone Perugia a a Department of Engineering, Universitá degli Studi Roma TRE, Rome, Italy b Polytech Nantes, Nantes, France a r t i c l e i n f o a b s t r a c t Article history: Depth-Image-Based-Rendering (DIBR) techniques are essential for three-dimensional (3D) Received 27 May 2013 video applications such as 3D Television (3DTV) and Free-Viewpoint Video. However, this Received in revised form process is based on 3D warping and can induce serious distortions whose impact on the 20 October 2014 perceived quality is far different from the one experienced in the 2D imaging processes. Accepted 20 October 2014 Available online 4 November 2014 Since quality evaluation of DIBR-synthesized views is fundamental for the design of perceptually friendly 3D video systems, an appropriate objective quality metric targeting Keywords: the assessment of DIBR-synthesized views is momentous. Most of the 2D objective quality Objective image quality metrics fail in assessing the visual quality of DIBR-synthesized views because they have 3D synthesized views not been conceived fo