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DMDVC 中基于可靠性评估的边信息融合算法

  

  1. 四川大学电子信息学院，四川 成都 610065
  • 出版日期:2017-08-31 发布日期:2017-08-10
  • 基金资助:
    中央高校基本科研业务费项目(2015SCU04A11)；国家自然科学基金项目(61471248)

Side Information Fusion Algorithm Based on Reliability Evaluation in DMDVC

  1. College of Electronic Information Engineering, Sichuan University, Chengdu Sichuan 610065, China
  • Online:2017-08-31 Published:2017-08-10

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摘要： 边信息质量是影响基于深度图的多视点分布式视频编码(DMDVC)系统压缩效率的
关键因素之一。为了充分利用时域边信息、空域边信息及深度图来提升DMDVC 系统的边信息质
量，提出一种基于可靠性评估的融合算法。首先采用运动补偿时域内插(MCTI)算法生成时域边信
息，然后采用基于深度图的视点绘制(DIBR)技术生成空域边信息。针对场景中物体快速运动会影
响时域边信息质量以及利用DIBR 技术生成空域边信息时会产生空洞等问题，有选择地对时域边
信息的运动剧烈区域或空域边信息的空洞及边缘区域进行修正。实验结果表明，该算法可以有效
地融合时域边信息和空域边信息，较参考文献[4]的融合算法最高可提升5.6 dB。

关键词: 多视点分布式视频编码, 边信息融合, 可靠性评估, 时-空域边信息

Abstract: In depth-based multi-view distributed video coding (DMDVC), the quality of side
information is one of the key factors that affect the compression efficiency. In order to make full use
of the temporal side information, spatial side information and depth map to improve the quality of
side information of the DMDVC system, a fusion algorithm based on reliability evaluation is
proposed. The motion compensated temporal interpolation (MCTI) is used to generate temporal side
information, and then the spatial side information can be generated using the depth image based
rendering (DIBR) technique. The object’s fast movement in the scene would affect the quality of
temporal side information and the use of DIBR to generate spatial domain side information would
lead to holes. To solve these problems, this paper selectively corrects the fast moving regions in
temporal side information or the holes and edge regions in spatial side information. The experimental
results show that the algorithm can effectively fuse the temporal side information and the spatial side
information, which can achieve up to 5.6 dB improvement over [4].

Key words: multi-view distributed video coding, side information fusion, reliability evaluation;
temporal-spatial side information