{"title":"一种用于检测高对比度照明条件的自动曝光算法","authors":"Jiayi Liang, Yajie Qin, Zhiliang Hong","doi":"10.1109/ICASIC.2007.4415733","DOIUrl":null,"url":null,"abstract":"The proposed algorithm provides fast and accurate auto-exposure capability for digital still cameras. For normal lighting conditions, the number of preview frames and the exposure error are within 3.5 frames and 3.92%. For high contrast lighting conditions, the number of preview frames and the exposure error are within 8.8 frames and 6.56%. Furthermore, it offers accurate detection for both back lit and excessive front lit conditions at the same time and make proper exposure to the main object.","PeriodicalId":120984,"journal":{"name":"2007 7th International Conference on ASIC","volume":"130 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"51","resultStr":"{\"title\":\"An Auto-exposure algorithm for detecting high contrast lighting conditions\",\"authors\":\"Jiayi Liang, Yajie Qin, Zhiliang Hong\",\"doi\":\"10.1109/ICASIC.2007.4415733\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The proposed algorithm provides fast and accurate auto-exposure capability for digital still cameras. For normal lighting conditions, the number of preview frames and the exposure error are within 3.5 frames and 3.92%. For high contrast lighting conditions, the number of preview frames and the exposure error are within 8.8 frames and 6.56%. Furthermore, it offers accurate detection for both back lit and excessive front lit conditions at the same time and make proper exposure to the main object.\",\"PeriodicalId\":120984,\"journal\":{\"name\":\"2007 7th International Conference on ASIC\",\"volume\":\"130 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"51\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 7th International Conference on ASIC\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASIC.2007.4415733\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 7th International Conference on ASIC","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASIC.2007.4415733","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Auto-exposure algorithm for detecting high contrast lighting conditions
The proposed algorithm provides fast and accurate auto-exposure capability for digital still cameras. For normal lighting conditions, the number of preview frames and the exposure error are within 3.5 frames and 3.92%. For high contrast lighting conditions, the number of preview frames and the exposure error are within 8.8 frames and 6.56%. Furthermore, it offers accurate detection for both back lit and excessive front lit conditions at the same time and make proper exposure to the main object.
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