{"title":"Fast subpixel displacement estimation for images using chirp transform algorithm","authors":"Hayato Iwata, M. Abe, M. Kawamata","doi":"10.1109/ICNIDC.2016.7974596","DOIUrl":null,"url":null,"abstract":"This paper proposes a fast estimation method of subpixel displacement of images using the phase-only correlation with chirp transform algorithm. The subpixel displacement estimation using phase-only correlarion has high robustness and accuracy but requires high computational cost. The chirp transform is used to the subpixel displacement estimation to reduce the computational cost when the range of displacement to be estimated is limited to small area. The proposed method is applied to the displacement estimation of images, and is able to reduce computation time to 1/3 of that of a conventional method.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNIDC.2016.7974596","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper proposes a fast estimation method of subpixel displacement of images using the phase-only correlation with chirp transform algorithm. The subpixel displacement estimation using phase-only correlarion has high robustness and accuracy but requires high computational cost. The chirp transform is used to the subpixel displacement estimation to reduce the computational cost when the range of displacement to be estimated is limited to small area. The proposed method is applied to the displacement estimation of images, and is able to reduce computation time to 1/3 of that of a conventional method.