摘要
针对目前尚未深入研究多视点可分级的问题,本文提出基于视点校正的视点可分级编码。该算法主要包括:首先利用直方图匹配消除视点间色度的差异,然后对直流系数进行补偿,消除视点间亮度的差异,最后根据视点间相关性将视点分解成基本视点和各个增强层视点进行视点可分级编码。实验结果表明,所提出的多视点编码除了具有视点可分级性外,还提高了编码效率。
Since scalable multi-view video coding （SMVC） has not been well studied, this paper proposes scalable multi-view video coding based on video correction. Firstly, the histogram matching is mainly used to eliminate color differences among views. Then compensating the DC coefficient is mainly used to eliminate the difference between the views of image brightness. Finally, based on correlation analysis, all views are divided into two groups： base views and enhancement views, which use SMVC. The proposed SMVC scheme is tested with several multi-view sequences to determine its view scalability, high coding efficiency.
出处
《计算机与现代化》
2016年第2期28-31,37,共5页
Computer and Modernization
基金
国家自然科学基金资助项目(61362032)
江西省自然科学基金资助项目(20132BAB211025)
江西省教育厅资助科研项目(GJJ13716)
关键词
视点校正
视点间相关性
视点可分级编码
video correction
relation of inter-views
scalable multi-view video coding（SMVC）
