{"title":"DVI视频信号的自适应均衡补偿算法","authors":"Wang Kuan, Gong Haibo, Qi Xiaopeng","doi":"10.1109/ICAICA50127.2020.9181869","DOIUrl":null,"url":null,"abstract":"In order to meet the requirements for collecting video signals of airborne avionics systems and improve the signal transmission quality of airborne video distributors, an adaptive equalization compensation method is proposed and applied to the airborne DVI (Digitial Visual Interface) video signal distributor. The advantages of this method are: using hardware pre-emphasis and equalization technology to solve the problem of distortion of DVI signals during long cable transmission; using a double histogram equalization method based on a weighted probability equalization model to further improve image contrast and sharpness. Finally, experiments show that this method can improve the clarity and recognition of video images.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The adaptive equalization compensation algorithm for DVI video signal\",\"authors\":\"Wang Kuan, Gong Haibo, Qi Xiaopeng\",\"doi\":\"10.1109/ICAICA50127.2020.9181869\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to meet the requirements for collecting video signals of airborne avionics systems and improve the signal transmission quality of airborne video distributors, an adaptive equalization compensation method is proposed and applied to the airborne DVI (Digitial Visual Interface) video signal distributor. The advantages of this method are: using hardware pre-emphasis and equalization technology to solve the problem of distortion of DVI signals during long cable transmission; using a double histogram equalization method based on a weighted probability equalization model to further improve image contrast and sharpness. Finally, experiments show that this method can improve the clarity and recognition of video images.\",\"PeriodicalId\":113564,\"journal\":{\"name\":\"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAICA50127.2020.9181869\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICA50127.2020.9181869","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The adaptive equalization compensation algorithm for DVI video signal
In order to meet the requirements for collecting video signals of airborne avionics systems and improve the signal transmission quality of airborne video distributors, an adaptive equalization compensation method is proposed and applied to the airborne DVI (Digitial Visual Interface) video signal distributor. The advantages of this method are: using hardware pre-emphasis and equalization technology to solve the problem of distortion of DVI signals during long cable transmission; using a double histogram equalization method based on a weighted probability equalization model to further improve image contrast and sharpness. Finally, experiments show that this method can improve the clarity and recognition of video images.
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