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Algorithm Optimization Of H.264 Intra Mode Based On TI DM6437

Posted on:2009-04-13Degree:MasterType:Thesis
Country:ChinaCandidate:L ZhangFull Text:PDF
GTID:2178360278961478Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
In some video surveillance occasion, we need to take the photo of interested object with high resolution when it comes into our sight. It is better that these two functions are supplied by a single cheap platform. In order to increase the compression-ratio and share the decoder on the receiver side, H.264 Intra mode is selected as the compression format. This paper accelerates X264I encoder on DM6437 and makes it semi-realtime.This paper compares different popular image compression formats, and then shows the advantages of H.264 over JPEG and JPEG2000.Then the architecture of this DSP is explained in detail.At last, it introduces and realizes many algorithm optimization skills based on the architecture of C64x+ DSP and structure of H.264 Intra mode with new point of view.This paper uses an intra mode of a video compression standard as a large scale image compression format in a creative way. This idea brings a good tradeoff between time and DSP resource consumption, makes it easy to run both low-resolution real time video codec and high-resolution near realtime image codec on one single platform. Decoder sharing on the receiver side also benefits from this idea. Different from former ones, new concepts of algorithm optimization on DSP are brought forward and realized. These also help other tasks on algorithm optimization.By optimizing according to the skills refered in the paper, the test image (2048*1024, YUV420, 24bits/pixel) compression consumes 5.4s, compared to 26.3s before optimization.And the QP could be set larger to accelerate the codec further without losing of image quality. Semi-realtime is achived.So, the new concepts introduced in this paper are proved correctly and effectively.
Keywords/Search Tags:TMS320DM6437, H.264Intra, Algorithm Optimization
PDF Full Text Request
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