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Research Of Fog-degraded Monitoring Video Image Clearness Methods Based On DSP

Posted on:2010-06-05Degree:MasterType:Thesis
Country:ChinaCandidate:N JiFull Text:PDF
GTID:2178360275453568Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
The video monitoring product has been widely applied in the transportation, the safe defense, the industry and agriculture production, the military science technology and so on. It's playing more and more vital role. However, the current video monitoring system is sensitive to the weather condition. Particularly by the low visibility of foggy weather, the scenery image degenerates seriously, this has limited and affected the effectiveness of video monitoring system enormously. Therefore, in order to realize the vision supervisory system's all-weather work, to enhance the system robustness and reliability under the heavy weather, the researching of fog-degraded monitoring video image clearness methods based on DSP has important scientific significance and use value.For its compute ability and special soft and hard structure, digital signal process technology has been used comprehensively in digital image processing field. Meanwhile, the DSP chip is widely used in video processing and transmission field, because it's integration level, computing speed and digital taking in and sending out rate is improved continuously. In this paper, a video image supervisory system is described. It gathers real-time video by CCD camera, carries on clear processing to the foggy images by DSP, displays the processing results by the supervisory equipment. The time of gathering, processing and displaying satisfies the request of real-time monitoring.The paper analyzes the nature of the degraded mechanism of foggy image, researches the methods of fog-degraded image clearness based on image enhancement, and gives MATLAB simulation result, then proposes a foggy video processing realization based on TMS320DM642. According to system's design requirements, the hardware part has realized three partial designs, the video decoding inputs, the video buffers and the video coding outputs. The software part is the key point of this paper. Based on real-time operating system DSP/BIOS and the standard software frame RF5, each module design is described in detail, including video gathering module, foggy video image processing module, video output module. Finally the paper gives the experimental result based on DSP system, and carries on the comparative analysis to the processing result.The realization given in this article has realized a high-speed, stable platform for the foggy video image processing system. It could meet the design needs and has broad application prospects.
Keywords/Search Tags:Fog, Image Processing, Video Monitoring, DM642, Histo-enhance
PDF Full Text Request
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