{"title":"使用金字塔距离阶统计滤波的图像压缩","authors":"Rusen Oktem, P. Kuosmanen, K. Egiazarian","doi":"10.1109/DSPWS.1996.555453","DOIUrl":null,"url":null,"abstract":"Pyramidal data structure has proven useful in efficient progressive image transmission coding algorithms. A novel image coding algorithm is presented. This algorithm uses distance order statistic filters to form the pyramidal structure. It is applied to real images and found to perform efficiently in terms of image quality at a low bit rate. In noisy conditions the algorithm is adapted to remove noise by using DOS filtering.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Image compression using pyramidal distance order statistic filtering\",\"authors\":\"Rusen Oktem, P. Kuosmanen, K. Egiazarian\",\"doi\":\"10.1109/DSPWS.1996.555453\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pyramidal data structure has proven useful in efficient progressive image transmission coding algorithms. A novel image coding algorithm is presented. This algorithm uses distance order statistic filters to form the pyramidal structure. It is applied to real images and found to perform efficiently in terms of image quality at a low bit rate. In noisy conditions the algorithm is adapted to remove noise by using DOS filtering.\",\"PeriodicalId\":131323,\"journal\":{\"name\":\"1996 IEEE Digital Signal Processing Workshop Proceedings\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1996 IEEE Digital Signal Processing Workshop Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSPWS.1996.555453\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 IEEE Digital Signal Processing Workshop Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSPWS.1996.555453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image compression using pyramidal distance order statistic filtering
Pyramidal data structure has proven useful in efficient progressive image transmission coding algorithms. A novel image coding algorithm is presented. This algorithm uses distance order statistic filters to form the pyramidal structure. It is applied to real images and found to perform efficiently in terms of image quality at a low bit rate. In noisy conditions the algorithm is adapted to remove noise by using DOS filtering.