摘要
尽管基于3D小波变换的视频编码越来越受到关注,但其编码效率有待进一步提高.文中在对视频3D小波变换的统计特性及时间高频帧零树编码的无效性进行分析和讨论的基础上,提出一种时间高频帧的"零体块"模型和基于八叉体分裂的3D小波视频编码算法.该算法分别处理经过3D小波变换的时间低频子带和高频子带,分别对采用多级数集合分裂编码的"零树"结构和基于八叉体分裂的"零体块"结构进行编码.由于文中算法以"零体块"结构组织待编码系数,减少用于编码"孤独零"的同步信息.同时在编码过程中,只有当某个系数为重要系数时才对其编码,避免对不重要系数的反复扫描.实验表明,对于多种类型的标准测试视频序列,文中算法具有较高的重构质量.
Video coding based on 3D wavelet transform draws more and more attention. However, it is necessary to improve its coding efficiency. Based on the analysis of the 3 D wavelet transform coefficients distribution characteristics of video and unavailability of zerotree coding in temporal high-frequeney frames, the zeroeube model of temporal high-frequency frames and the 3 D wavelet video coding algorithm based on oeteube split are proposed in this paper. In this algorithm, low-frequency subbands and high- frequency subbands obtained by 3 D wavelet transform are processed respectively, the zerotree structure of set partitioning in Hierarehical tree （SPIHT） is adopted for the former, the zeroeube structure of oeteube split is utilized for the latter. Since the 3D transform wavelet coefficients are organized together byzerocube structure, the synchronous information of lonely zero coding is reduced. Meanwhile, a coefficient is coded only when it is significant. Thus, to scan insignificant coefficients repeatedly is avoided. Experimental results show that for various standard test video sequences, the proposed algorithm has good reconstruction quality.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2015年第8期702-709,共8页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金项目(No.61402214
41271422)
高等学校博士学科点专项科研基金项目(No.20132136110002)
辽宁省博士科研启动基金项目(No.20121076)
辽宁省教育厅科学研究一般项目(No.L2013405
L2013406)
智能计算与信息处理教育部重点实验室(湘潭大学)开放课题(No.2011ICIP06)资助
关键词
视频编码
三维小波变换
时间高频帧
零体块
八叉体分裂
Video Coding, 3D Wavelet Transform, Temporal High-Frequency Frame, Zerocube,Octcube Split
