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Updated: Mar 8, 2026
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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
Published on: December 3, 2013
16.1K
High-Efficiency 3D Depth Coding Based on Perceptual Quality of Synthesized Video
Summary
This study introduces a new synthesized video quality metric (SVQM) to address temporal noise in 3D video systems. The SVQM metric improves coding efficiency and reduces bit rates for synthesized depth video.
Area of Science:
- Computer Vision
- Video Processing
- Image Quality Assessment
Background:
- Imperfect depth images in 3D video systems cause temporal noise like flickering in synthesized views.
- Traditional quality metrics (PSNR, MSE) overlook temporal artifacts, focusing only on pixel-wise distortion.
Purpose of the Study:
- To propose a novel full-reference synthesized video quality metric (SVQM) for perceptual quality assessment of synthesized video in 3D systems.
- To develop an improved rate-distortion optimization (RDO) algorithm using SVQM to minimize perceptual distortion at a given bit rate.
- To enhance 3D depth video coding efficiency within the 3D High Efficiency Video Coding (3D-HEVC) framework.
Main Methods:
- Development of a novel full-reference synthesized video quality metric (SVQM).
- Integration of an improved RDO algorithm, based on SVQM, into 3D-HEVC software.
- Comparative analysis of SVQM against state-of-the-art quality assessment algorithms and coding schemes.
Main Results:
- The proposed SVQM metric demonstrates superior consistency with human perception compared to existing methods.
- The SVQM-based depth coding scheme achieves significant bit rate reductions (15.27% and 17.63%) and quality score gains (0.42-0.46 dB).
- The SVQM metric offers low complexity and easy integration into current video codecs.
Conclusions:
- The novel SVQM metric effectively measures perceptual quality of synthesized video, addressing limitations of traditional metrics.
- The SVQM-based RDO algorithm and coding scheme significantly improve 3D depth video coding efficiency and perceptual quality.
- This approach offers a practical solution for enhancing 3D video quality and coding performance.
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