Research on dark level correction method for CMOS image sensors

Yizhe Wang, Zhongjie Guo, Youmei Guo
{"title":"Research on dark level correction method for CMOS image sensors","authors":"Yizhe Wang, Zhongjie Guo, Youmei Guo","doi":"10.1117/12.3014385","DOIUrl":null,"url":null,"abstract":"To obtain higher imaging quality, the dark level generated during the operation of CMOS image sensors (CIS) needs to be corrected. In this paper, a dark level correction circuit is designed based on a 4 T active pixel, which includes a dark current cancellation circuit and a switched capacitor amplifier circuit. First, the dark current is collected in real time by using the dark pixels in the periphery of the face array, and the dark current noise is read out and differed from the image signals output from the columns to obtain a more accurate output signal, thus eliminating the dark level caused by the dark current. Then the switched-capacitor amplifier is used to collect and amplify the signals to facilitate the subsequent ADC processing. Based on the 110 nm process for the proposed method of specific circuit design verification, the verification results show that the dark level correction circuit designed in this paper through a real-time sampling of the dark pixels of the periphery of the array can be reduced to the exposure stage of the dark current noise to more than 85% of the original.","PeriodicalId":516634,"journal":{"name":"International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.3014385","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

To obtain higher imaging quality, the dark level generated during the operation of CMOS image sensors (CIS) needs to be corrected. In this paper, a dark level correction circuit is designed based on a 4 T active pixel, which includes a dark current cancellation circuit and a switched capacitor amplifier circuit. First, the dark current is collected in real time by using the dark pixels in the periphery of the face array, and the dark current noise is read out and differed from the image signals output from the columns to obtain a more accurate output signal, thus eliminating the dark level caused by the dark current. Then the switched-capacitor amplifier is used to collect and amplify the signals to facilitate the subsequent ADC processing. Based on the 110 nm process for the proposed method of specific circuit design verification, the verification results show that the dark level correction circuit designed in this paper through a real-time sampling of the dark pixels of the periphery of the array can be reduced to the exposure stage of the dark current noise to more than 85% of the original.
CMOS 图像传感器暗电平校正方法研究
为了获得更高的成像质量,需要对 CMOS 图像传感器(CIS)工作时产生的暗电平进行校正。本文设计了一种基于 4 T 有源像素的暗电平校正电路,其中包括暗电流消除电路和开关电容放大器电路。首先,利用面阵外围的暗像素实时采集暗电流,读出暗电流噪声,并与列输出的图像信号进行差分,得到更精确的输出信号,从而消除暗电流引起的暗电平。然后使用开关电容放大器来收集和放大信号,以方便后续的 ADC 处理。基于 110 nm 工艺对本文提出的方法进行了具体的电路设计验证,验证结果表明,本文设计的暗电平校正电路通过对阵列外围的暗像素进行实时采样,可以将曝光阶段的暗电流噪声降低到原来的 85% 以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信