混合光栅像素簇用于局部光角和光强检测

F. F. Carvalho, Alexandre Kennedy Pinto Souza, C. A. D. M. Cruz
{"title":"混合光栅像素簇用于局部光角和光强检测","authors":"F. F. Carvalho, Alexandre Kennedy Pinto Souza, C. A. D. M. Cruz","doi":"10.1109/INSCIT.2017.8103531","DOIUrl":null,"url":null,"abstract":"Detecting local light incident angle is a desirable feature for CMOS image sensors for 3D image reconstruction purpose. Advances in the CMOS technologies in the lasts years have enabled integrated solutions to perform such a job. However, it is still not viable to implement such a feature in regular CMOS image sensors due to the great number of pixels necessary in a cluster to perform incident angle detection. In this paper, it is proposed a hybrid cluster with only four pixels, instead of eight pixels of previous solutions, that is able to detect both local light intensity and incident angle. The technique to detect local incident angle is widely exploited in the literature. Two novelties are explored in this work, the first is the new paradigm in polarization pixel-cluster design, and the second is extend ability of metal-shielded pixels to detect both local light angle and intensity. Experimental results show a dynamic range difference of less than 2.5 dB between a pixel with 40 % of metal shielding and a pixel no metal shielding.","PeriodicalId":416167,"journal":{"name":"2017 2nd International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Hybrid grated pixel cluster for local light angle and intensity detection\",\"authors\":\"F. F. Carvalho, Alexandre Kennedy Pinto Souza, C. A. D. M. Cruz\",\"doi\":\"10.1109/INSCIT.2017.8103531\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Detecting local light incident angle is a desirable feature for CMOS image sensors for 3D image reconstruction purpose. Advances in the CMOS technologies in the lasts years have enabled integrated solutions to perform such a job. However, it is still not viable to implement such a feature in regular CMOS image sensors due to the great number of pixels necessary in a cluster to perform incident angle detection. In this paper, it is proposed a hybrid cluster with only four pixels, instead of eight pixels of previous solutions, that is able to detect both local light intensity and incident angle. The technique to detect local incident angle is widely exploited in the literature. Two novelties are explored in this work, the first is the new paradigm in polarization pixel-cluster design, and the second is extend ability of metal-shielded pixels to detect both local light angle and intensity. Experimental results show a dynamic range difference of less than 2.5 dB between a pixel with 40 % of metal shielding and a pixel no metal shielding.\",\"PeriodicalId\":416167,\"journal\":{\"name\":\"2017 2nd International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT)\",\"volume\":\"137 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 2nd International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INSCIT.2017.8103531\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INSCIT.2017.8103531","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

检测局部光入射角是CMOS图像传感器用于三维图像重建的理想特性。过去几年CMOS技术的进步使得集成解决方案能够完成这样的工作。然而,由于在集群中执行入射角检测所需的大量像素,在常规CMOS图像传感器中实现这样的功能仍然是不可行的。本文提出了一种能够同时检测局部光强和入射角的混合光簇,而不是以前的8个像素的混合光簇。局部入射角检测技术在文献中得到了广泛的应用。本研究探索了两个创新点,一是偏振像素簇设计的新范式,二是扩展金属屏蔽像素检测局部光角和光强的能力。实验结果表明,具有40%金属屏蔽的像元与没有金属屏蔽的像元的动态范围差小于2.5 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid grated pixel cluster for local light angle and intensity detection
Detecting local light incident angle is a desirable feature for CMOS image sensors for 3D image reconstruction purpose. Advances in the CMOS technologies in the lasts years have enabled integrated solutions to perform such a job. However, it is still not viable to implement such a feature in regular CMOS image sensors due to the great number of pixels necessary in a cluster to perform incident angle detection. In this paper, it is proposed a hybrid cluster with only four pixels, instead of eight pixels of previous solutions, that is able to detect both local light intensity and incident angle. The technique to detect local incident angle is widely exploited in the literature. Two novelties are explored in this work, the first is the new paradigm in polarization pixel-cluster design, and the second is extend ability of metal-shielded pixels to detect both local light angle and intensity. Experimental results show a dynamic range difference of less than 2.5 dB between a pixel with 40 % of metal shielding and a pixel no metal shielding.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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