{"title":"An Improved Block-matching and Three-dimensional Algorithm for Phase Interferogram","authors":"Xing Li, Bin Wu","doi":"10.1109/ISPDS56360.2022.9874074","DOIUrl":null,"url":null,"abstract":"Aiming at the poor detail of the interference fringes in the phase interferogram of the Block-matching and three-dimensional (BM3D) filtering algorithm, it is difficult to deal with the false edge problem caused by the ringing effect. This study proposed an improved BM3D algorithm for the phase interferogram. The algorithm performs similar block search on the phase image, introduces cosine dissimilarity as the similarity measure, then converts the phase image to complex domain for filtering, and finally introduces a Kaiser window in the aggregation process, which further maintains the denoising ability while improving the texture details and phase information of the interference fringes are obtained.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPDS56360.2022.9874074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aiming at the poor detail of the interference fringes in the phase interferogram of the Block-matching and three-dimensional (BM3D) filtering algorithm, it is difficult to deal with the false edge problem caused by the ringing effect. This study proposed an improved BM3D algorithm for the phase interferogram. The algorithm performs similar block search on the phase image, introduces cosine dissimilarity as the similarity measure, then converts the phase image to complex domain for filtering, and finally introduces a Kaiser window in the aggregation process, which further maintains the denoising ability while improving the texture details and phase information of the interference fringes are obtained.