{"title":"结合弱光条件下手持式HDR成像的去模糊和去噪","authors":"P. Lakshman","doi":"10.1145/1787275.1787303","DOIUrl":null,"url":null,"abstract":"This paper proposes a probability formulation that unifies both single-image deblurring and multi-image denoising using variational inference. Based on this formulation, a new algorithm for deblurring a noisy and blurry image pair is presented. Besides, we provide also an approach that combines existing optical flow and image denoising techniques for High Dynamic Range imaging.","PeriodicalId":151791,"journal":{"name":"Proceedings of the 7th ACM international conference on Computing frontiers","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Combining deblurring and denoising for handheld HDR imaging in low light conditions\",\"authors\":\"P. Lakshman\",\"doi\":\"10.1145/1787275.1787303\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a probability formulation that unifies both single-image deblurring and multi-image denoising using variational inference. Based on this formulation, a new algorithm for deblurring a noisy and blurry image pair is presented. Besides, we provide also an approach that combines existing optical flow and image denoising techniques for High Dynamic Range imaging.\",\"PeriodicalId\":151791,\"journal\":{\"name\":\"Proceedings of the 7th ACM international conference on Computing frontiers\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 7th ACM international conference on Computing frontiers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1787275.1787303\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th ACM international conference on Computing frontiers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1787275.1787303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Combining deblurring and denoising for handheld HDR imaging in low light conditions
This paper proposes a probability formulation that unifies both single-image deblurring and multi-image denoising using variational inference. Based on this formulation, a new algorithm for deblurring a noisy and blurry image pair is presented. Besides, we provide also an approach that combines existing optical flow and image denoising techniques for High Dynamic Range imaging.