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Synthesis distortion estimation in 3D video using frequency and spatial analysis
Conference proceeding

Synthesis distortion estimation in 3D video using frequency and spatial analysis

Lu Fang, Ngai-Man Cheung, Dong Tian, Anthony Vetro, Huifang Sun, Lu Yu and IEEE
Proceedings - International Conference on Image Processing, pp.3176-3180
01/09/2013

Abstract

3D Video Analytical models Cameras Depth Error Distortion Estimation Frequency and Spatial Analysis Image coding Noise Rendering (computer graphics) Synthesis Distortion Estimation Three-dimensional displays Vectors Videos
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.

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