{"title":"数字视频中阻塞伪影的失真测量方法","authors":"S. Suthaharan, H.R. Wu","doi":"10.1109/ICICS.1997.652257","DOIUrl":null,"url":null,"abstract":"A method is proposed to measure the blocking artifact which is a common problem in block-based coding mechanisms used in various digital image and video coding standards. In this method, the quantitative distortion measure, the generalized block-edge impairment metric (GBIM), is modified to accommodate the local statistical characteristics, based on directional inter-pixel differences between adjoining blocks, of a video image. This modified block-edge impairment metric (MGBIM) gives results which are consistent and highly correlated with subjective evaluations.","PeriodicalId":71361,"journal":{"name":"信息通信技术","volume":"16 1","pages":"1566-1569 vol.3"},"PeriodicalIF":0.0000,"publicationDate":"1997-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A distortion measure for blocking artifacts in digital video\",\"authors\":\"S. Suthaharan, H.R. Wu\",\"doi\":\"10.1109/ICICS.1997.652257\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method is proposed to measure the blocking artifact which is a common problem in block-based coding mechanisms used in various digital image and video coding standards. In this method, the quantitative distortion measure, the generalized block-edge impairment metric (GBIM), is modified to accommodate the local statistical characteristics, based on directional inter-pixel differences between adjoining blocks, of a video image. This modified block-edge impairment metric (MGBIM) gives results which are consistent and highly correlated with subjective evaluations.\",\"PeriodicalId\":71361,\"journal\":{\"name\":\"信息通信技术\",\"volume\":\"16 1\",\"pages\":\"1566-1569 vol.3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"信息通信技术\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICS.1997.652257\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"信息通信技术","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ICICS.1997.652257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A distortion measure for blocking artifacts in digital video
A method is proposed to measure the blocking artifact which is a common problem in block-based coding mechanisms used in various digital image and video coding standards. In this method, the quantitative distortion measure, the generalized block-edge impairment metric (GBIM), is modified to accommodate the local statistical characteristics, based on directional inter-pixel differences between adjoining blocks, of a video image. This modified block-edge impairment metric (MGBIM) gives results which are consistent and highly correlated with subjective evaluations.
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