{"title":"有序抖动技术中的抖动模式识别","authors":"Chyi-Hwa Chu","doi":"10.1109/ICS.2016.0080","DOIUrl":null,"url":null,"abstract":"Most of applications for halftoning images are designed for a particular halftoning method. Under an automatic system, a pre-processor is needed to recognize the halftoning images and then a suitable technique can be applied to them. In this paper, a novel technique is proposed to recognize the visual patterns by order dither technique. It takes the properties of pixel ordering in the halftoning patterns by dither matrices. Our experiments indicate that sixty halftoning images by order dither technique and error diffusion with variant parameters can be correctly classified without manual operations.","PeriodicalId":281088,"journal":{"name":"2016 International Computer Symposium (ICS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recognition of Dithering Patterns for Ordered Dither Technique\",\"authors\":\"Chyi-Hwa Chu\",\"doi\":\"10.1109/ICS.2016.0080\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most of applications for halftoning images are designed for a particular halftoning method. Under an automatic system, a pre-processor is needed to recognize the halftoning images and then a suitable technique can be applied to them. In this paper, a novel technique is proposed to recognize the visual patterns by order dither technique. It takes the properties of pixel ordering in the halftoning patterns by dither matrices. Our experiments indicate that sixty halftoning images by order dither technique and error diffusion with variant parameters can be correctly classified without manual operations.\",\"PeriodicalId\":281088,\"journal\":{\"name\":\"2016 International Computer Symposium (ICS)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Computer Symposium (ICS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICS.2016.0080\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Computer Symposium (ICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICS.2016.0080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recognition of Dithering Patterns for Ordered Dither Technique
Most of applications for halftoning images are designed for a particular halftoning method. Under an automatic system, a pre-processor is needed to recognize the halftoning images and then a suitable technique can be applied to them. In this paper, a novel technique is proposed to recognize the visual patterns by order dither technique. It takes the properties of pixel ordering in the halftoning patterns by dither matrices. Our experiments indicate that sixty halftoning images by order dither technique and error diffusion with variant parameters can be correctly classified without manual operations.