Noise reduction for image signal processor in digital cameras
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Baek, Yeul-Min | - |
dc.contributor.author | Cho, Dong-Chan | - |
dc.contributor.author | Lee, Jin-Aeon | - |
dc.contributor.author | Kim, Whoi Yul | - |
dc.date.accessioned | 2022-12-21T01:39:31Z | - |
dc.date.available | 2022-12-21T01:39:31Z | - |
dc.date.created | 2022-09-16 | - |
dc.date.issued | 2008-08 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/178056 | - |
dc.description.abstract | Most of noise reduction methods assume an additive white Gaussian noise (AWGN) model. However, the real noise is not A WGN. Therefore, such noise reduction methods are not effective in real images captured by digital cameras. In this paper, we propose the noise reduction method for image signal processor (ISP) in consumer digital cameras. To efficiently reduce the noise in ISP, we estimate the Skellam noise model in Bayer domain, and then we adoptively reduce the noise according to intensity values. Our noise model doesn't need to be rebuilt according to input images if it is made once. Thus, the proposed method can be a suitable algorithm for ISP. Moreover, the experimental results show that the proposed method reduces the real noise efficiently while the image detail is preserved. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | Noise reduction for image signal processor in digital cameras | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Whoi Yul | - |
dc.identifier.doi | 10.1109/ICHIT.2008.233 | - |
dc.identifier.scopusid | 2-s2.0-55849118458 | - |
dc.identifier.bibliographicCitation | Proceedings - 2008 International Conference on Convergence and Hybrid Information Technology, ICHIT 2008, pp.474 - 481 | - |
dc.relation.isPartOf | Proceedings - 2008 International Conference on Convergence and Hybrid Information Technology, ICHIT 2008 | - |
dc.citation.title | Proceedings - 2008 International Conference on Convergence and Hybrid Information Technology, ICHIT 2008 | - |
dc.citation.startPage | 474 | - |
dc.citation.endPage | 481 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Additive White Gaussian noises | - |
dc.subject.keywordPlus | Do-mains | - |
dc.subject.keywordPlus | Image details | - |
dc.subject.keywordPlus | Image signals | - |
dc.subject.keywordPlus | Input images | - |
dc.subject.keywordPlus | Intensity values | - |
dc.subject.keywordPlus | Noise models | - |
dc.subject.keywordPlus | Noise reduction methods | - |
dc.subject.keywordPlus | NOise reductions | - |
dc.subject.keywordPlus | Real images | - |
dc.subject.keywordPlus | Acoustic noise measurement | - |
dc.subject.keywordPlus | Digital arithmetic | - |
dc.subject.keywordPlus | Digital cameras | - |
dc.subject.keywordPlus | Gaussian noise (electronic) | - |
dc.subject.keywordPlus | Image enhancement | - |
dc.subject.keywordPlus | Information technology | - |
dc.subject.keywordPlus | Internet | - |
dc.subject.keywordPlus | Internet service providers | - |
dc.subject.keywordPlus | Signal processing | - |
dc.subject.keywordPlus | Video cameras | - |
dc.subject.keywordPlus | White noise | - |
dc.subject.keywordPlus | Cameras | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/4622870 | - |
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