采用视点校正的视点可分级编码

doi:10.3969/j.issn.1006-2475.2016.02.007

计算机与现代化

采用视点校正的视点可分级编码

1.九江学院信息科学与技术学院，江西九江332005;2.九江学院文学与传媒学院，江西九江332005

收稿日期:2015-09-17 出版日期:2016-03-02 发布日期:2016-03-03
作者简介: 严涛(1981-),男,湖北汉川人，九江学院信息科学与技术学院副教授，博士,研究方向：三维视频处理及码率控制；周小雄（1982-），男，江西湖口人，讲师，硕士，研究方向：图像处理。
基金资助:
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）

Scalable Multi-view Video Coding Based on Video Correction

1. School of Information Science and Technology, Jiujiang University, Jiujiang 332005, China;

2. School of Literature and Communication, Jiujiang University, Jiujiang 332005, China

Received:2015-09-17 Online:2016-03-02 Published:2016-03-03

摘要/Abstract

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。

关键词: 视点校正, 视点间相关性, 视点可分级编码

Abstract: 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.

Key words: video correction, relation of inter-views, scalable multi-view video coding(SMVC)

严涛1，周小雄1，邓安远1，罗文婷2，张攀东1. 采用视点校正的视点可分级编码[J]. 计算机与现代化, doi: 10.3969/j.issn.1006-2475.2016.02.007.

YAN Tao1, ZHOU Xiao-xiong1, DENG An-yuan1, LUO Wen-ting2, ZHANG Pan-dong1. Scalable Multi-view Video Coding Based on Video Correction[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2016.02.007.

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采用视点校正的视点可分级编码

Scalable Multi-view Video Coding Based on Video Correction

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