{"title":"嵌入式网络视频监控系统中的图像增强算法","authors":"Shengnan Xu, Lihui Yang","doi":"10.1109/ICSSEM.2012.6340873","DOIUrl":null,"url":null,"abstract":"With the demand of image quality, a novel algorithm named MW-SVM is proposed for the enhancement of digital images based on mathematical morphology, watershed algorithm and SVM to remove noises and increase articulation. The MW-SVM algorithm is adopted in embedded network video monitoring system to improve video image quality. Firstly, the principle of MW-SVM algorithm and the structure of network video system are introduced briefly. Then, the system hardware structure, software structure and working principle are analyzed. Finally, the test images and parameters, including PSNR, MSE and ISNR, show that this system is reliable, stable and extensible. It will have meaningful practical value in embedded system development.","PeriodicalId":115037,"journal":{"name":"2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Image enhancement algorithm in embedded network video monitoring system\",\"authors\":\"Shengnan Xu, Lihui Yang\",\"doi\":\"10.1109/ICSSEM.2012.6340873\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the demand of image quality, a novel algorithm named MW-SVM is proposed for the enhancement of digital images based on mathematical morphology, watershed algorithm and SVM to remove noises and increase articulation. The MW-SVM algorithm is adopted in embedded network video monitoring system to improve video image quality. Firstly, the principle of MW-SVM algorithm and the structure of network video system are introduced briefly. Then, the system hardware structure, software structure and working principle are analyzed. Finally, the test images and parameters, including PSNR, MSE and ISNR, show that this system is reliable, stable and extensible. It will have meaningful practical value in embedded system development.\",\"PeriodicalId\":115037,\"journal\":{\"name\":\"2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSEM.2012.6340873\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSEM.2012.6340873","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image enhancement algorithm in embedded network video monitoring system
With the demand of image quality, a novel algorithm named MW-SVM is proposed for the enhancement of digital images based on mathematical morphology, watershed algorithm and SVM to remove noises and increase articulation. The MW-SVM algorithm is adopted in embedded network video monitoring system to improve video image quality. Firstly, the principle of MW-SVM algorithm and the structure of network video system are introduced briefly. Then, the system hardware structure, software structure and working principle are analyzed. Finally, the test images and parameters, including PSNR, MSE and ISNR, show that this system is reliable, stable and extensible. It will have meaningful practical value in embedded system development.
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