祝世平,赵冬玉.基于分形的深度图序列编码算法[J].光电子激光,2014,(3):565~573 |
基于分形的深度图序列编码算法 |
Depth map sequence coding algorithm based on fractal |
投稿时间:2013-05-31 |
DOI: |
中文关键词: 三维视频(3DV)编码 深度图 分形编码 P帧预测 H.264 |
英文关键词:three dimensional video (3DV) coding depth map fractal coding P frame predict ion H.264 |
基金项目:国家自然科学基金(61375025,1,60675018)和教育部留学回国人员科研启动基金资助项目 (北京航空航天大学 仪器科学与光电工程学院测控与信息技术系,北京 100191) |
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中文摘要: |
充分利用深度图序列相邻帧间的局部相似性,并结 合H.264帧内预测编码算法,提出了一种适用于深度图序列编码的新 方法,即深度图序列的I帧编码采用H .264帧内预测结构而P帧编码采用基于分形理论的压缩方法。首先介绍了分形 编码的理论基础,然后通过改进非均匀多层次六边形格 点整像素运动搜索(UMHexagonS)方法,提出了一种更适用于分形编码的基于运动矢量场的 自适应六边形搜索算法,从而 形成了基于分形的深度图P帧预测编码结构。实验结果表明:本文提出的编码系统在很大 程度上提高了H.264的编码性能, 峰值信噪比差值(BDPSNR)平均提高了3.54dB,编码比特率差 值(BDBR)平均降低40.98%,同时编码复 杂度也大大降 低,平均编码时间减少了85.27%。 |
英文摘要: |
Depth map compression is the crucial technology in three dimentional video (3DV) coding system.To obtain high compression efficiency and low encoding complexity for depth map-sequence,this paper proposes a novel coding algorithm for depth map-sequence based on fractal. This applicable scheme for depth map-sequence coding is proposed by adequately exploiting local similarity between adjacent frames in depth map-sequence and combining intra-prediction method in H.264.I n the proposed scheme,the I frame in depth map-sequence is encoded by adopting intra-prediction structure in H.264,while the P frame is encoded by fractal compression method.Firstly,the theoret ical basis of fractal coding is presented.Then,a new motion-vector-field-based adaptive hexagon search algorithm,which is applicab le to fractal coding,is proposed by improving unsymmetrical multi-level hexagon search (UMHexagonS) method.Finally,the P frame prediction structure based on fractal in depth map-sequence coding is formed.Experimental results indicate that the proposed coding system can improve the overall performance of the H.264coding system with an average Bjontegaard delta peak signal- to-noise ratio (BDPSNR) gain of 3.54dB and an average Bjontegaard delta bit rate (BDBR) reduction of 40.98%.Furthermore,the computational complexity is reduced and the entire encoding time on average is s aved by 85.27%.In addition,the proposed algorithm shows certain advantages compared with other international representa tion methods in this field. |
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