【作者】 张健；

【导师】 张思杰；

【作者基本信息】 重庆大学 ， 信号与信息处理， 2012， 硕士

【摘要】 视频压缩是为了实现视频资源的共享，视频远程传输等的实际需要，通过减小视频的存储量以及传输数据，来达到减小硬件成本目的的一种手段。作为一种实况记录的手段，视频传输系统的建设不仅要考虑其建设成本，而且要考虑视频重构的质量。一种即减小视频编码数据又能做到视频高保真度重构的视频压缩算法是目前的研究重点，基于视频压缩算法的研究也就成了近年来的热点课题。本论文从视频压缩算法的现状、小波变换理论以及较为成熟的基于小波变换的图像压缩算法入手，深入研究其特点提出了基于小波变换的图像压缩算法，结合小波的多分辨率特点提出了基于小波变换的视频压缩算法，主要内容和创新点如下:1、沿用嵌入式小波零数算法（EZW）的系数扫描方法，选取合适的系数分段值，对小波系数进行区间的划分，用不同字母取代小波系数值的方法进行参考帧图像的编码。2、结合三维小波是二维小波在时间方向扩展的思想，运用运动补偿技术，用低分辨率下的水平方向的高频估算出物体的位移，实现帧图像的重构。3、对算法进行仿真，并与现有算法在不同带宽下，从编码时间和平均峰值信噪比两个方面进行了比较。更多还原

【Abstract】 In order to achieve the sharing of video resources the actual needs of remote videotransmission,people need to reduce the hardware cost by reducing the amount of storageand transmission of video data. As a live recording means, the construction of the videotransmission system should not only consider the construction costs, but also to considerthe quality of the video reconstruction. An algorithm that reduces video encoding dataand can do video fidelity reconstruction of video compression is the focus of the currentstudy, based on video compression algorithm also has become a hot topic in recentyears.This paper from the video compression algorithm for the status, the wavelettransform theory and a more mature image compression based on wavelet transformalgorithm to start, in depth study characterized by a fast wavelet transform-based imagecompression algorithm, combined with the wavelet multi-resolution characteristics isproposed based on wavelet transform video compression algorithm, the main contentand innovation are as follows:1、The algorithm following the Embedded Zerotree Wavelet algorithm (EZW)coefficient scanning method, select the appropriate coefficient segment value rangeof the division of the wavelet coefficients, to replace the method of waveletcoefficients of the reference frame image coding with different letters.2、Combined with three-dimensional wavelet is a two-dimensional wavelet expansionin time for thinking, the use of motion compensation, displacement of the object inthe horizontal direction under the low-resolution high-frequency estimate, the frameimage reconstruction.3、Simulation algorithm with existing algorithms in different bandwidth from twoaspects of the encoding time and the average PSNR comparison.更多还原