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Research And Implementation, Based On Tms320dm642 H.264 Algorithm

Posted on:2008-09-12Degree:MasterType:Thesis
Country:ChinaCandidate:D D ZhuFull Text:PDF
GTID:2208360245479509Subject:Systems Engineering
Abstract/Summary:PDF Full Text Request
H.264 achieves very low bit rate, high quality and high compression ratio. However, its highly efficient compression is at the cost of increased computational complexity. Motion estimation occupies the most time in the process of video coding. For this reason, fast motion estimation in H.264 has always been a hot spot in the video compression field.Firstly, this thesis discusses the basic principle and the essential technologies in H.264 video coding standard. Secondly, it introduces several popularly fast block matching motion estimation algorithms and analyzes their advantages and disadvantages. Thirdly, in order to cover the shortage of the fast block matching motion estimation algorithms, it combined with UMHS and HEXBS algorithms and then put forward the optimization algorithms. After testing, the time which is spent on the Motion Estimation in encoder has been reduced in the optimization algorithm, but the PSNR remains basically unchanged.The theories have proved that H.264, a new advanced video compressed protocol, has a better performance and adaptation to requirements of the application of the wireless and network multimedia better than other video compressed protocols. But because of the complexity of H.264 protocol and the flexibility of the operational control, how to design H.264 coders is the key problem that engineers and corporations that plan to implement them have to consider. If high speed DSP chips, TMS320DM642, are used as hardware platforms on which H.264 coders are based and the right algorithm of the control of the encoder is adopted, the problem should be solved well and transplant H.264 encoder into TI DM642 and do some optimization.
Keywords/Search Tags:Video coding, motion estimation and motion compensation, search pattern, DM642, optimization
PDF Full Text Request
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