{"title":"基于变换系数直方图移位和整形的图像增强","authors":"Junjun Xia, K. Panetta, S. Agaian","doi":"10.1109/THS.2010.5654968","DOIUrl":null,"url":null,"abstract":"This paper proposes two image enhancement algorithms that are based on utilizing histogram data gathered from wavelet transform domain coefficients. Computer simulations demonstrate that combining the spatial method of histogram equalization with the wavelet transform domain coefficient histograms achieves a much more balanced enhancement, which outperforms classical histogram equalization algorithms.","PeriodicalId":106557,"journal":{"name":"2010 IEEE International Conference on Technologies for Homeland Security (HST)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Image enhancement based on transform coefficient histogram shifting and shaping\",\"authors\":\"Junjun Xia, K. Panetta, S. Agaian\",\"doi\":\"10.1109/THS.2010.5654968\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes two image enhancement algorithms that are based on utilizing histogram data gathered from wavelet transform domain coefficients. Computer simulations demonstrate that combining the spatial method of histogram equalization with the wavelet transform domain coefficient histograms achieves a much more balanced enhancement, which outperforms classical histogram equalization algorithms.\",\"PeriodicalId\":106557,\"journal\":{\"name\":\"2010 IEEE International Conference on Technologies for Homeland Security (HST)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Technologies for Homeland Security (HST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/THS.2010.5654968\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Technologies for Homeland Security (HST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/THS.2010.5654968","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image enhancement based on transform coefficient histogram shifting and shaping
This paper proposes two image enhancement algorithms that are based on utilizing histogram data gathered from wavelet transform domain coefficients. Computer simulations demonstrate that combining the spatial method of histogram equalization with the wavelet transform domain coefficient histograms achieves a much more balanced enhancement, which outperforms classical histogram equalization algorithms.