{"title":"A color cast detection algorithm of robust performance","authors":"Fangzhou Li, Jinyong Wu, Yike Wang, Yong Zhao, Xing Zhang","doi":"10.1109/ICACI.2012.6463249","DOIUrl":null,"url":null,"abstract":"In order to overcome the limit of traditional methods in image cast detection, a new cast detection approach with robust performance is presented. The algorithm by using digital image analysis is used to analyze the characteristics of the image itself. Especially the algorithm introduces image texture information to cast factor K. The new technique of evaluating cast detection not only is able to accurately detect cast images, but also to avoid taking normal images estimate into cast images, and enhances the detection accuracy and reliability. The performance is more robust. The experiment results show that by testing many different images, the proposed method and the subjective evaluation results are in good agreement.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACI.2012.6463249","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
In order to overcome the limit of traditional methods in image cast detection, a new cast detection approach with robust performance is presented. The algorithm by using digital image analysis is used to analyze the characteristics of the image itself. Especially the algorithm introduces image texture information to cast factor K. The new technique of evaluating cast detection not only is able to accurately detect cast images, but also to avoid taking normal images estimate into cast images, and enhances the detection accuracy and reliability. The performance is more robust. The experiment results show that by testing many different images, the proposed method and the subjective evaluation results are in good agreement.