{"title":"空间误差隐藏的方向插值","authors":"Jae-Won Suh, Ye-Sung Ho","doi":"10.1109/icce.1997.625854","DOIUrl":null,"url":null,"abstract":"Compressed bitstreams are, in general, very sensitive to channel errors. For instance, a single bit error in a coded video bitstream may cause severe degradations on picture quality. Therefore, error concealment is needed at the receiver for picture replenishment. Error concealment algorithms attempt to repair damaged portions of the picture by exploiting the spatial and temporal redundancies in the received and reconstructed video signals. In this paper, we utilize spatially correlated information for error concealment by performing spatial interpolation based on a large local neighborhood of surrounding pixels, and restore image edges that are continuous with those present in the neighborhood. Although other spatial interpolation techniques generate blurring effects, out proposed method has shown no blurring.","PeriodicalId":127085,"journal":{"name":"1997 International Conference on Consumer Electronics","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Directional Interpolation For Spatial Error Concealment\",\"authors\":\"Jae-Won Suh, Ye-Sung Ho\",\"doi\":\"10.1109/icce.1997.625854\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Compressed bitstreams are, in general, very sensitive to channel errors. For instance, a single bit error in a coded video bitstream may cause severe degradations on picture quality. Therefore, error concealment is needed at the receiver for picture replenishment. Error concealment algorithms attempt to repair damaged portions of the picture by exploiting the spatial and temporal redundancies in the received and reconstructed video signals. In this paper, we utilize spatially correlated information for error concealment by performing spatial interpolation based on a large local neighborhood of surrounding pixels, and restore image edges that are continuous with those present in the neighborhood. Although other spatial interpolation techniques generate blurring effects, out proposed method has shown no blurring.\",\"PeriodicalId\":127085,\"journal\":{\"name\":\"1997 International Conference on Consumer Electronics\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1997 International Conference on Consumer Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icce.1997.625854\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1997 International Conference on Consumer Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icce.1997.625854","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Directional Interpolation For Spatial Error Concealment
Compressed bitstreams are, in general, very sensitive to channel errors. For instance, a single bit error in a coded video bitstream may cause severe degradations on picture quality. Therefore, error concealment is needed at the receiver for picture replenishment. Error concealment algorithms attempt to repair damaged portions of the picture by exploiting the spatial and temporal redundancies in the received and reconstructed video signals. In this paper, we utilize spatially correlated information for error concealment by performing spatial interpolation based on a large local neighborhood of surrounding pixels, and restore image edges that are continuous with those present in the neighborhood. Although other spatial interpolation techniques generate blurring effects, out proposed method has shown no blurring.