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Local adaptive directional color filter array interpolation based on inter-channel correlation
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chen, Xiangdong | - |
| dc.contributor.author | He, Liwen | - |
| dc.contributor.author | Jeon, Gwanggil | - |
| dc.contributor.author | Jeong, Jechang | - |
| dc.date.accessioned | 2022-07-16T03:43:12Z | - |
| dc.date.available | 2022-07-16T03:43:12Z | - |
| dc.date.issued | 2014-08 | - |
| dc.identifier.issn | 0030-4018 | - |
| dc.identifier.issn | 1873-0310 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/159439 | - |
| dc.description.abstract | In this paper, we present a novel color image demosaicking algorithm. The algorithm consists of two steps: an interpolation step and a refinement step. The missing green color information is first interpolated by using the color channel difference. In the refinement step, a local weighted directional interpolation method guided by the pre-interpolated green channel is applied to refine the interpolation results along the determined interpolation direction. Lastly, post-processing is implemented to output the final demosaicked full color image. Due to well estimating the interpolation directions based on reliable inter-channel correlation, the interpolation accuracy is guaranteed, besides, an effective post-processing was implemented to reduce the interpolation artifacts. As a result, compared with the latest demosaicking algorithms, experiments showed that the proposed method provides superior performance in terms of both objective and subjective image qualities. | - |
| dc.format.extent | 8 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Elsevier BV | - |
| dc.title | Local adaptive directional color filter array interpolation based on inter-channel correlation | - |
| dc.type | Article | - |
| dc.publisher.location | 네델란드 | - |
| dc.identifier.doi | 10.1016/j.optcom.2014.03.019 | - |
| dc.identifier.scopusid | 2-s2.0-84898661480 | - |
| dc.identifier.wosid | 000336969100046 | - |
| dc.identifier.bibliographicCitation | Optics Communications, v.324, pp 269 - 276 | - |
| dc.citation.title | Optics Communications | - |
| dc.citation.volume | 324 | - |
| dc.citation.startPage | 269 | - |
| dc.citation.endPage | 276 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | sci | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Optics | - |
| dc.relation.journalWebOfScienceCategory | Optics | - |
| dc.subject.keywordPlus | DEMOSAICKING | - |
| dc.subject.keywordPlus | ALGORITHM | - |
| dc.subject.keywordPlus | RESTORATION | - |
| dc.subject.keywordAuthor | Color filter array (CFA) interpolation | - |
| dc.subject.keywordAuthor | Demosaicking | - |
| dc.subject.keywordAuthor | Directional interpolation | - |
| dc.subject.keywordAuthor | Color difference | - |
| dc.subject.keywordAuthor | Bayer color filter array | - |
| dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0030401814002508?via%3Dihub | - |
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