{"title":"sCMOS real-time nonuniformity correction based on adaptive multipoint method","authors":"Z. Tao, Li Xinyang, Li Jianfeng, Xu Zhi","doi":"10.12086/OEE.2021.210036","DOIUrl":null,"url":null,"abstract":"In order to improve the nonuniformity caused by the process bias of sCMOS readout circuit, an adaptive multipoint nonuniformity correction method is presented. The algorithm first determines the location of the optimal segment point and the optimal number of segments by searching for the minimum norm point and threshold comparison, then corrects two points in each interval segment according to the segment information. This adaptive method can effectively improve the correction performance of traditional multipoint methods, which is caused by improper selection of segment parameters. At the same time, in order to achieve real-time non-uniformity correction, a matching embedded data series correction scheme is proposed based on the algorithm characteristics of adaptive multipoint method, which can achieve non-uniformity correction without affecting the existing camera acquisition structure and acquisition rate.","PeriodicalId":39552,"journal":{"name":"光电工程","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"光电工程","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.12086/OEE.2021.210036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
In order to improve the nonuniformity caused by the process bias of sCMOS readout circuit, an adaptive multipoint nonuniformity correction method is presented. The algorithm first determines the location of the optimal segment point and the optimal number of segments by searching for the minimum norm point and threshold comparison, then corrects two points in each interval segment according to the segment information. This adaptive method can effectively improve the correction performance of traditional multipoint methods, which is caused by improper selection of segment parameters. At the same time, in order to achieve real-time non-uniformity correction, a matching embedded data series correction scheme is proposed based on the algorithm characteristics of adaptive multipoint method, which can achieve non-uniformity correction without affecting the existing camera acquisition structure and acquisition rate.