{"title":"图像锐化的两种自适应方案","authors":"Jian-ao Lian","doi":"10.1109/INFOCT.2019.8711269","DOIUrl":null,"url":null,"abstract":"Two locally adaptive schemes for image sharpening are established. With appropriate selections of parameters, the schemes also smoothen the image in the area with flat-valued pixels, which leads to more pleasant-looking images. Demonstration by using standard images shows that the schemes are effective and comparable to some commonly used image-sharpening techniques in the literature.","PeriodicalId":369231,"journal":{"name":"2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Two Adaptive Schemes for Image Sharpening\",\"authors\":\"Jian-ao Lian\",\"doi\":\"10.1109/INFOCT.2019.8711269\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Two locally adaptive schemes for image sharpening are established. With appropriate selections of parameters, the schemes also smoothen the image in the area with flat-valued pixels, which leads to more pleasant-looking images. Demonstration by using standard images shows that the schemes are effective and comparable to some commonly used image-sharpening techniques in the literature.\",\"PeriodicalId\":369231,\"journal\":{\"name\":\"2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT)\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFOCT.2019.8711269\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFOCT.2019.8711269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Two locally adaptive schemes for image sharpening are established. With appropriate selections of parameters, the schemes also smoothen the image in the area with flat-valued pixels, which leads to more pleasant-looking images. Demonstration by using standard images shows that the schemes are effective and comparable to some commonly used image-sharpening techniques in the literature.