{"title":"基于WTHE的快速图像/视频对比度增强","authors":"Qing Wang, R. Ward","doi":"10.1109/MMSP.2006.285326","DOIUrl":null,"url":null,"abstract":"We present a fast and effective method for image contrast enhancement based on weighted and thresholded histogram equalization (WTHE). In our proposed method, the probability distribution function of an image is modified by weighting and thresholding before the histogram equalization (HE) is performed. We show that such an approach provides a convenient and effective mechanism to control the enhancement process while being adaptive to various types of images. We also discuss applications of the proposed method in video enhancement","PeriodicalId":267577,"journal":{"name":"2006 IEEE Workshop on Multimedia Signal Processing","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Fast Image/Video Contrast Enhancement Based on WTHE\",\"authors\":\"Qing Wang, R. Ward\",\"doi\":\"10.1109/MMSP.2006.285326\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a fast and effective method for image contrast enhancement based on weighted and thresholded histogram equalization (WTHE). In our proposed method, the probability distribution function of an image is modified by weighting and thresholding before the histogram equalization (HE) is performed. We show that such an approach provides a convenient and effective mechanism to control the enhancement process while being adaptive to various types of images. We also discuss applications of the proposed method in video enhancement\",\"PeriodicalId\":267577,\"journal\":{\"name\":\"2006 IEEE Workshop on Multimedia Signal Processing\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE Workshop on Multimedia Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMSP.2006.285326\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Workshop on Multimedia Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMSP.2006.285326","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fast Image/Video Contrast Enhancement Based on WTHE
We present a fast and effective method for image contrast enhancement based on weighted and thresholded histogram equalization (WTHE). In our proposed method, the probability distribution function of an image is modified by weighting and thresholding before the histogram equalization (HE) is performed. We show that such an approach provides a convenient and effective mechanism to control the enhancement process while being adaptive to various types of images. We also discuss applications of the proposed method in video enhancement
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