{"title":"基于分数阶差分掩模的自适应图像增强","authors":"Dali Chen, Y. Chen, Dingyu Xue, Feng Pan","doi":"10.1109/CCDC.2012.6244164","DOIUrl":null,"url":null,"abstract":"In this paper, an adaptive image enhancement based on fractional differential mask is proposed. Firstly, the designing method of the fractional differential mask is introduced and the image enhancing strategy based on the fractional differential mask is presented. Then, an unsupervised method is introduced to optimize the fractional order parameter by using the statistical character of digital image. The experiments demonstrate the validity of the proposed image enhancing algorithm.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Adaptive image enhancement based on fractional differential mask\",\"authors\":\"Dali Chen, Y. Chen, Dingyu Xue, Feng Pan\",\"doi\":\"10.1109/CCDC.2012.6244164\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an adaptive image enhancement based on fractional differential mask is proposed. Firstly, the designing method of the fractional differential mask is introduced and the image enhancing strategy based on the fractional differential mask is presented. Then, an unsupervised method is introduced to optimize the fractional order parameter by using the statistical character of digital image. The experiments demonstrate the validity of the proposed image enhancing algorithm.\",\"PeriodicalId\":345790,\"journal\":{\"name\":\"2012 24th Chinese Control and Decision Conference (CCDC)\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 24th Chinese Control and Decision Conference (CCDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2012.6244164\",\"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 24th Chinese Control and Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2012.6244164","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive image enhancement based on fractional differential mask
In this paper, an adaptive image enhancement based on fractional differential mask is proposed. Firstly, the designing method of the fractional differential mask is introduced and the image enhancing strategy based on the fractional differential mask is presented. Then, an unsupervised method is introduced to optimize the fractional order parameter by using the statistical character of digital image. The experiments demonstrate the validity of the proposed image enhancing algorithm.