{"title":"基于下采样的最优重构滤波器多重描述编码","authors":"Y. Yapici, B. Demir, S.E. ve Oguzhan Urhan","doi":"10.1109/SIU.2007.4298731","DOIUrl":null,"url":null,"abstract":"In this paper, a multiple description image coding scheme is proposed to facilitate the transmission of images over media with possible packet loss. The proposed method is based on finding the optimal reconstruction filter coefficients that will be used to combine the multiple descriptions, based on least squares minimization. Firstly, the original image is down sampled and each sub-image is coded using standard JPEG. These decoded images are then mapped to the original image size using the optimal filters. Multiple descriptions consist of coded down sampled images and the corresponding optimal reconstruction filter coefficients. It is shown that the proposed method gives superior results compared with standard interpolation filters (i.e .bicubic and bilinear).","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Downsampling Based Multiple Description Coding with Optimal Reconstruction Filters\",\"authors\":\"Y. Yapici, B. Demir, S.E. ve Oguzhan Urhan\",\"doi\":\"10.1109/SIU.2007.4298731\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a multiple description image coding scheme is proposed to facilitate the transmission of images over media with possible packet loss. The proposed method is based on finding the optimal reconstruction filter coefficients that will be used to combine the multiple descriptions, based on least squares minimization. Firstly, the original image is down sampled and each sub-image is coded using standard JPEG. These decoded images are then mapped to the original image size using the optimal filters. Multiple descriptions consist of coded down sampled images and the corresponding optimal reconstruction filter coefficients. It is shown that the proposed method gives superior results compared with standard interpolation filters (i.e .bicubic and bilinear).\",\"PeriodicalId\":315147,\"journal\":{\"name\":\"2007 IEEE 15th Signal Processing and Communications Applications\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE 15th Signal Processing and Communications Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2007.4298731\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE 15th Signal Processing and Communications Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2007.4298731","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Downsampling Based Multiple Description Coding with Optimal Reconstruction Filters
In this paper, a multiple description image coding scheme is proposed to facilitate the transmission of images over media with possible packet loss. The proposed method is based on finding the optimal reconstruction filter coefficients that will be used to combine the multiple descriptions, based on least squares minimization. Firstly, the original image is down sampled and each sub-image is coded using standard JPEG. These decoded images are then mapped to the original image size using the optimal filters. Multiple descriptions consist of coded down sampled images and the corresponding optimal reconstruction filter coefficients. It is shown that the proposed method gives superior results compared with standard interpolation filters (i.e .bicubic and bilinear).