{"title":"DCT域快速块边缘方向分析","authors":"Xiangwen Wang, Haiquan Wang, Yongzhong Huang","doi":"10.1109/WCSP.2010.5633255","DOIUrl":null,"url":null,"abstract":"Detecting edge existence and analyzing the edge direction in a block level is useful in the applications, such as perceptually improved image processing, blocking artifacts reduction, content-based retrieval, senses changing detection, etc. This paper proposes a novel Fast Block Edge Direction Analysis method. The method is derived from a simple pixel domain in a deductive way. Then we demonstrate how to calculate the key parameters of the method with DCT coefficients. With this method, one block is classified into one of the 17 category edges: No edge plus 16 different edge patterns. The calculation of the key parameters can be calculated with extremely low complexity both in pixel domain and in DCT domain.","PeriodicalId":448094,"journal":{"name":"2010 International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Fast Block Edge Direction Analysis in DCT domain\",\"authors\":\"Xiangwen Wang, Haiquan Wang, Yongzhong Huang\",\"doi\":\"10.1109/WCSP.2010.5633255\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Detecting edge existence and analyzing the edge direction in a block level is useful in the applications, such as perceptually improved image processing, blocking artifacts reduction, content-based retrieval, senses changing detection, etc. This paper proposes a novel Fast Block Edge Direction Analysis method. The method is derived from a simple pixel domain in a deductive way. Then we demonstrate how to calculate the key parameters of the method with DCT coefficients. With this method, one block is classified into one of the 17 category edges: No edge plus 16 different edge patterns. The calculation of the key parameters can be calculated with extremely low complexity both in pixel domain and in DCT domain.\",\"PeriodicalId\":448094,\"journal\":{\"name\":\"2010 International Conference on Wireless Communications & Signal Processing (WCSP)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Wireless Communications & Signal Processing (WCSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSP.2010.5633255\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Wireless Communications & Signal Processing (WCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSP.2010.5633255","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detecting edge existence and analyzing the edge direction in a block level is useful in the applications, such as perceptually improved image processing, blocking artifacts reduction, content-based retrieval, senses changing detection, etc. This paper proposes a novel Fast Block Edge Direction Analysis method. The method is derived from a simple pixel domain in a deductive way. Then we demonstrate how to calculate the key parameters of the method with DCT coefficients. With this method, one block is classified into one of the 17 category edges: No edge plus 16 different edge patterns. The calculation of the key parameters can be calculated with extremely low complexity both in pixel domain and in DCT domain.