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Image Post-processing Main Algorithm Research and Realization

Author: LiYuanShen
Tutor: YanXiaoLangï¼›DingYong
School: Zhejiang University
Course: Circuits and Systems
Keywords: Post-processing of the video image Deinterlacing Target tracking Particle filter
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 168
Quote: 1
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Abstract


The post-processing of the video image is a very important aspect of the entire video image processing , it is an important bridge to connect the transmission channel video terminal . With the emergence of video image technology continues to evolve , and a variety of emerging video image use , video image processing technology covers a growing range of content , processing speed , higher quality requirements . Video image processing including image noise reduction , de-interlacing , image scaling , image quality enhancements traditional algorithm , an increasing number of special algorithms for real-time requirements are also into which include: target tracking , face recognition and many other applications . In this paper, the key algorithms for video image processing . The first introduces the research background , briefly covered the field of video image post-processing as well as domestic and foreign research status . Then , the article focuses on the video image deinterlacing algorithms and video image target tracking algorithm in these two areas . This paper presents a deinterlacing algorithm based on the Enhanced Edge adaptive video image : on the one hand , it summarizes the many deinterlacing forefront algorithm based on optimized against the edge of the correctness of the judgment ; the other hand , during Motion Adaptive introduces the idea of ambiguity function makes the image to restore image quality continuous soft . The paper also proposes a particle filter target tracking algorithms : algorithms parallel optimization improve the traditional particle filter algorithm based on weight ; hand, we improved resampling algorithm to break the interdependent relationship between the various links of the particle filter algorithm ; other hand, using the array of processors to share a large number of particles point computation . By experiment to prove the article proposed de-interlacing algorithm and target tracking algorithm obtained better results than the original algorithm . And gives a hardware implementation of these two algorithms . The end of the article summarizes the work of the subject , and video image processing field prospect .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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