{"title":"直方图均衡化基于累积密度函数，线性函数，和像素位置方案的静止图像","authors":"B. Homnan, W. Benjapolakul","doi":"10.1109/ICSENGT.2012.6339315","DOIUrl":null,"url":null,"abstract":"To control important image's properties- light intensity and sharpness, and emphasize on image portion, the image equalizer is mandatory. This paper proposes CLP-HE (Cumulative density function, Linear function and Pixel position scheme-based Histogram Equalization) for moving image. The results show that the computation time has been improved. In addition, the appropriated parameters in CLP-HE can be processed to improve image portion quality on the moving image.","PeriodicalId":325365,"journal":{"name":"2012 International Conference on System Engineering and Technology (ICSET)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Histogram Equalization based on cumulative density function, Linear function, and Pixel position schemes for still image\",\"authors\":\"B. Homnan, W. Benjapolakul\",\"doi\":\"10.1109/ICSENGT.2012.6339315\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To control important image's properties- light intensity and sharpness, and emphasize on image portion, the image equalizer is mandatory. This paper proposes CLP-HE (Cumulative density function, Linear function and Pixel position scheme-based Histogram Equalization) for moving image. The results show that the computation time has been improved. In addition, the appropriated parameters in CLP-HE can be processed to improve image portion quality on the moving image.\",\"PeriodicalId\":325365,\"journal\":{\"name\":\"2012 International Conference on System Engineering and Technology (ICSET)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on System Engineering and Technology (ICSET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSENGT.2012.6339315\",\"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 International Conference on System Engineering and Technology (ICSET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENGT.2012.6339315","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Histogram Equalization based on cumulative density function, Linear function, and Pixel position schemes for still image
To control important image's properties- light intensity and sharpness, and emphasize on image portion, the image equalizer is mandatory. This paper proposes CLP-HE (Cumulative density function, Linear function and Pixel position scheme-based Histogram Equalization) for moving image. The results show that the computation time has been improved. In addition, the appropriated parameters in CLP-HE can be processed to improve image portion quality on the moving image.
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