{"title":"盲图像去模糊:从变分方法到深度表示模型及其以后的概述","authors":"Haibo Li, W. Shao","doi":"10.14132/J.CNKI.1673-5439.2020.05.009","DOIUrl":null,"url":null,"abstract":"The blind image deblurring,i.e.,blind image deconvolution,is a fundamental issue in low-level vision and a cutting-edge problem in computational imaging.Since complex and varying blur kernels are h ...","PeriodicalId":35446,"journal":{"name":"南京邮电大学学报(自然科学版)","volume":"40 1","pages":"84-94"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Blind image deblurring:an overview from variational approaches to deep representation models and beyond\",\"authors\":\"Haibo Li, W. Shao\",\"doi\":\"10.14132/J.CNKI.1673-5439.2020.05.009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The blind image deblurring,i.e.,blind image deconvolution,is a fundamental issue in low-level vision and a cutting-edge problem in computational imaging.Since complex and varying blur kernels are h ...\",\"PeriodicalId\":35446,\"journal\":{\"name\":\"南京邮电大学学报(自然科学版)\",\"volume\":\"40 1\",\"pages\":\"84-94\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"南京邮电大学学报(自然科学版)\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.14132/J.CNKI.1673-5439.2020.05.009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"南京邮电大学学报(自然科学版)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.14132/J.CNKI.1673-5439.2020.05.009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
Blind image deblurring:an overview from variational approaches to deep representation models and beyond
The blind image deblurring,i.e.,blind image deconvolution,is a fundamental issue in low-level vision and a cutting-edge problem in computational imaging.Since complex and varying blur kernels are h ...