{"title":"包括参数模型在Tikhonov-Miller图像恢复","authors":"V. Barakat, R. Goutte, R. Prost","doi":"10.1109/ICOSP.1998.770766","DOIUrl":null,"url":null,"abstract":"We propose a new Tikhonov-Miller restoration method where an a priori model of the solution is included. In sharp contrast with the classical method, this approach allows local information to be incorporated. The main difficulty is to express this local information in a model. We show that this new method can lead to better results than the usual Tikhonov-Miller approach, if a parametric a priori model is used.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Including a parametric model in Tikhonov-Miller image restoration\",\"authors\":\"V. Barakat, R. Goutte, R. Prost\",\"doi\":\"10.1109/ICOSP.1998.770766\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a new Tikhonov-Miller restoration method where an a priori model of the solution is included. In sharp contrast with the classical method, this approach allows local information to be incorporated. The main difficulty is to express this local information in a model. We show that this new method can lead to better results than the usual Tikhonov-Miller approach, if a parametric a priori model is used.\",\"PeriodicalId\":145700,\"journal\":{\"name\":\"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSP.1998.770766\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.1998.770766","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Including a parametric model in Tikhonov-Miller image restoration
We propose a new Tikhonov-Miller restoration method where an a priori model of the solution is included. In sharp contrast with the classical method, this approach allows local information to be incorporated. The main difficulty is to express this local information in a model. We show that this new method can lead to better results than the usual Tikhonov-Miller approach, if a parametric a priori model is used.