{"title":"JPEG灰度图像的边缘检测","authors":"M. Hagara, O. Ondrácek, P. Kubinec, R. Stojanovic","doi":"10.1109/MECO.2019.8760195","DOIUrl":null,"url":null,"abstract":"Over the last four decades, hundreds of methods for edge detection in digital images have been published. Each new edge detector was tested on a smaller or larger number of images. Sometimes the researchers have used the images, encoded in lossy JPEG format to test their proposed algorithm. The goal of this paper is to show whether lossy image compression can affect the quality of edge detection. The results presented in this article show that lossy image compression can impair the efficiency of edge detection by up to six percent.","PeriodicalId":141324,"journal":{"name":"2019 8th Mediterranean Conference on Embedded Computing (MECO)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Edge Detection in JPEG Grayscale Images\",\"authors\":\"M. Hagara, O. Ondrácek, P. Kubinec, R. Stojanovic\",\"doi\":\"10.1109/MECO.2019.8760195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Over the last four decades, hundreds of methods for edge detection in digital images have been published. Each new edge detector was tested on a smaller or larger number of images. Sometimes the researchers have used the images, encoded in lossy JPEG format to test their proposed algorithm. The goal of this paper is to show whether lossy image compression can affect the quality of edge detection. The results presented in this article show that lossy image compression can impair the efficiency of edge detection by up to six percent.\",\"PeriodicalId\":141324,\"journal\":{\"name\":\"2019 8th Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 8th Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO.2019.8760195\",\"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 8th Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2019.8760195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Over the last four decades, hundreds of methods for edge detection in digital images have been published. Each new edge detector was tested on a smaller or larger number of images. Sometimes the researchers have used the images, encoded in lossy JPEG format to test their proposed algorithm. The goal of this paper is to show whether lossy image compression can affect the quality of edge detection. The results presented in this article show that lossy image compression can impair the efficiency of edge detection by up to six percent.
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