1 research outputs found
Quality Assessment of DIBR-synthesized views: An Overview
The Depth-Image-Based-Rendering (DIBR) is one of the main fundamental
technique to generate new views in 3D video applications, such as Multi-View
Videos (MVV), Free-Viewpoint Videos (FVV) and Virtual Reality (VR). However,
the quality assessment of DIBR-synthesized views is quite different from the
traditional 2D images/videos. In recent years, several efforts have been made
towards this topic, but there lacks a detailed survey in literature. In this
paper, we provide a comprehensive survey on various current approaches for
DIBR-synthesized views. The current accessible datasets of DIBR-synthesized
views are firstly reviewed. Followed by a summary and analysis of the
representative state-of-the-art objective metrics. Then, the performances of
different objective metrics are evaluated and discussed on all available
datasets. Finally, we discuss the potential challenges and suggest possible
directions for future research