Jinyoung Youn, Younguk Park, Jeongho Shin, J. Paik
{"title":"空间自适应图像恢复及其FIR实现","authors":"Jinyoung Youn, Younguk Park, Jeongho Shin, J. Paik","doi":"10.1109/FGCNS.2008.54","DOIUrl":null,"url":null,"abstract":"This paper presents a spatially adaptive image restoration for EDoF lens images. A practical implementation method is also discussed for real-time applications. For basic image restoration we adopt the truncated constrained least squares (TCLS) filter, and for adaptively selecting the weights of the observed and the restored images we compute local variance. Based on experimental results, we can claim that the proposed restoration algorithm can successfully remove the image degradation with suppressing noise amplification.","PeriodicalId":370780,"journal":{"name":"2008 Second International Conference on Future Generation Communication and Networking Symposia","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Spatially Adaptive Image Restoration and its FIR Implementation\",\"authors\":\"Jinyoung Youn, Younguk Park, Jeongho Shin, J. Paik\",\"doi\":\"10.1109/FGCNS.2008.54\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a spatially adaptive image restoration for EDoF lens images. A practical implementation method is also discussed for real-time applications. For basic image restoration we adopt the truncated constrained least squares (TCLS) filter, and for adaptively selecting the weights of the observed and the restored images we compute local variance. Based on experimental results, we can claim that the proposed restoration algorithm can successfully remove the image degradation with suppressing noise amplification.\",\"PeriodicalId\":370780,\"journal\":{\"name\":\"2008 Second International Conference on Future Generation Communication and Networking Symposia\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Second International Conference on Future Generation Communication and Networking Symposia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FGCNS.2008.54\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Second International Conference on Future Generation Communication and Networking Symposia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FGCNS.2008.54","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spatially Adaptive Image Restoration and its FIR Implementation
This paper presents a spatially adaptive image restoration for EDoF lens images. A practical implementation method is also discussed for real-time applications. For basic image restoration we adopt the truncated constrained least squares (TCLS) filter, and for adaptively selecting the weights of the observed and the restored images we compute local variance. Based on experimental results, we can claim that the proposed restoration algorithm can successfully remove the image degradation with suppressing noise amplification.