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Cited 2 time in webofscience Cited 1 time in scopus
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Low-noise Image Sensors with Shifted Pseudo-correlated Multiple Sampling Method

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dc.contributor.authorYun, Su Yeon-
dc.contributor.authorSong, Min Kyu-
dc.contributor.authorKim, Soo Youn-
dc.date.accessioned2024-09-26T21:32:34Z-
dc.date.available2024-09-26T21:32:34Z-
dc.date.issued2024-07-
dc.identifier.issn0271-4302-
dc.identifier.issn2158-1525-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/26342-
dc.description.abstractThis paper presents a low-noise image sensor with a shifted pseudo-correlated multiple sampling (S-PMS) method based on a conventional single-slope analog-to-digital converter (SS-ADC) structure. By shifting the reference voltage of the ramp signal, a single ramp generator acts as a dual ramp generator, leading to reduced area and power consumption. In addition, by dividing the two illumination regions and performing PMS, the analog-to-digital conversion time can be reduced by half, resulting in an increase in frame rates. A prototype SS-ADC with S-PMS for a low-noise image sensor was fabricated using a 28 nm process. The results showed that the proposed S-PMS increased by 49% of frames per second and reduced random noise by 53%. © 2024 IEEE.-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.titleLow-noise Image Sensors with Shifted Pseudo-correlated Multiple Sampling Method-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/ISCAS58744.2024.10558389-
dc.identifier.scopusid2-s2.0-85199525060-
dc.identifier.wosid001268541102178-
dc.identifier.bibliographicCitationProceedings - IEEE International Symposium on Circuits and Systems-
dc.citation.titleProceedings - IEEE International Symposium on Circuits and Systems-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordAuthorCMOS Image sensor-
dc.subject.keywordAuthorPseudo Multiple Sampling (PMS)-
dc.subject.keywordAuthorRandom Noise-
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