摘要
视差估计是立体视频压缩中的一项关键技术。针对极线校正算法存在的不足,提出了一种基于视差矢量特点的快速视差估计算法。算法分析了平行摄像机与会聚摄像机系统中视差矢量特点,并根据它们的特点通过三步搜索来确定最佳匹配块。分别在分辨率640×480与1 280×720两种素材中进行了实验,实验结果表明,与JMVC中的TZ搜索算法相比,所提算法能够在保证图像质量与压缩效率基本不变的前提下,有效缩短编码时间,提高编码效率。由于所提算法不再进行极线校正,所以不会产生极线校正算法存在的问题。
Disparity estimation is a key technology for stereo video compression.Considering the disadvantage of the epipolar correction algorithm,a fast disparity estimation algorithm based on the features of disparity vector was proposed.The algorithm analyzed the features of disparity vector in parallel camera and convergent camera systems respectively,and explained how to find the best matching block by a three-step search according to their features.The algorithm was tested in both 640×480 and 1 280×720 resolution sequences.The experimental results show that compared to the original TZSearch algorithm in JMVC,the proposed algorithm can effectively shorten the encoding time and improve coding efficiency without decreasing the image quality and compression efficiency.Because there is not epipolar correction in the proposed algorithm,the disadvantage caused by epipolar correction will not appear.
出处
《计算机应用》
CSCD
北大核心
2012年第7期1856-1859,1878,共5页
journal of Computer Applications
基金
国家科技重大专项(2009ZX03004-006)
国家自然科学基金青年基金资助项目(60902063)
中国博士后科学基金资助项目(20090460696)
河南省高等学校青年骨干教师资助项目(2010GGJS-098)
河南省科技创新人才计划科技创新杰出青年项目(124100510015)
关键词
视差矢量
视差估计
三步搜索
最佳匹配块
编码效率
disparity vector
disparity estimation
three-step search
best matching block
coding efficiency
