{"title":"The improved algorithm for the defect of the Retinex image enhancement","authors":"Hongqing Hu, Guoqiang Ni","doi":"10.1109/ICASID.2010.5551401","DOIUrl":null,"url":null,"abstract":"Traditional image enhancement algorithm based on the Retinex theory has some limitations due to its hypothesis that the incident light is changing smoothly. In addition, the algorithm introduces color distortion and appears a halo phenomenon during the strong contrast between the light and dark when it is processing the three components of the incident light. Logarithm is used to deal with dynamic compression to reduce the contrast of the image. Considered these limitations, this article summarizes several current improved algorithms. All the algorithms mentioned in the article have a very good performance in the color constancy, contrast, and the computational cost.","PeriodicalId":391931,"journal":{"name":"2010 International Conference on Anti-Counterfeiting, Security and Identification","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Anti-Counterfeiting, Security and Identification","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASID.2010.5551401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Traditional image enhancement algorithm based on the Retinex theory has some limitations due to its hypothesis that the incident light is changing smoothly. In addition, the algorithm introduces color distortion and appears a halo phenomenon during the strong contrast between the light and dark when it is processing the three components of the incident light. Logarithm is used to deal with dynamic compression to reduce the contrast of the image. Considered these limitations, this article summarizes several current improved algorithms. All the algorithms mentioned in the article have a very good performance in the color constancy, contrast, and the computational cost.
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