{"title":"基于二维线性预测和二维随机激励的低比特率图像编码","authors":"K. Paliwal","doi":"10.1109/ICASSP.1988.196706","DOIUrl":null,"url":null,"abstract":"The use of stochastic excited linear predictive coding method is investigated for image coding and its parameters are studied. It is shown that it is not necessary to transmit local bias values of the image frames. It is also shown that the stochastic excitation is not adequate to represent the prediction residual signal. In order to get good performance from this coder, it is necessary to generate the codebook from the actual prediction residual signal.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Low bit-rate image coding using 2-D linear prediction and 2-D stochastic excitation\",\"authors\":\"K. Paliwal\",\"doi\":\"10.1109/ICASSP.1988.196706\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of stochastic excited linear predictive coding method is investigated for image coding and its parameters are studied. It is shown that it is not necessary to transmit local bias values of the image frames. It is also shown that the stochastic excitation is not adequate to represent the prediction residual signal. In order to get good performance from this coder, it is necessary to generate the codebook from the actual prediction residual signal.<<ETX>>\",\"PeriodicalId\":448544,\"journal\":{\"name\":\"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.1988.196706\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1988.196706","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Low bit-rate image coding using 2-D linear prediction and 2-D stochastic excitation
The use of stochastic excited linear predictive coding method is investigated for image coding and its parameters are studied. It is shown that it is not necessary to transmit local bias values of the image frames. It is also shown that the stochastic excitation is not adequate to represent the prediction residual signal. In order to get good performance from this coder, it is necessary to generate the codebook from the actual prediction residual signal.<>