Contrast adjustment algorithm using weighting approximation for stereo imaging
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ha, Changwoo | - |
dc.contributor.author | Lee, Wonjin | - |
dc.contributor.author | Choi, Changryoul | - |
dc.contributor.author | Lee, Kangjun | - |
dc.contributor.author | Jeong, Jechang | - |
dc.date.accessioned | 2022-07-15T20:17:07Z | - |
dc.date.available | 2022-07-15T20:17:07Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2015-11 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/155938 | - |
dc.description.abstract | The proposed algorithm aims to enhance stereo images while preserving the important characteristics of the original image. The proposed stereoscopic image enhancement technique consists of four steps: singular value decomposition based on image analysis, image enhancement, noise reduction, and tone consistency. The method decomposes an image into its singular values, from which the luminance information can be obtained using singular value decomposition. A contrast adjustment is applied by changing the singular values with noise reduction. The proposed method then uses the weighting approximation to obtain identical luminance levels from the luminance inconsistencies in stereo images. In the final image composition process, the proposed algorithm combines the color and luminance components in order to preserve the color consistency. The experimental results show that the proposed algorithm achieves good subjective quality and preserves the image details. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Contrast adjustment algorithm using weighting approximation for stereo imaging | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jeong, Jechang | - |
dc.identifier.doi | 10.1109/IntelliSys.2015.7361271 | - |
dc.identifier.scopusid | 2-s2.0-84962756641 | - |
dc.identifier.bibliographicCitation | IntelliSys 2015 - Proceedings of 2015 SAI Intelligent Systems Conference, pp.1040 - 1044 | - |
dc.relation.isPartOf | IntelliSys 2015 - Proceedings of 2015 SAI Intelligent Systems Conference | - |
dc.citation.title | IntelliSys 2015 - Proceedings of 2015 SAI Intelligent Systems Conference | - |
dc.citation.startPage | 1040 | - |
dc.citation.endPage | 1044 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Algorithms | - |
dc.subject.keywordPlus | Approximation algorithms | - |
dc.subject.keywordPlus | Image enhancement | - |
dc.subject.keywordPlus | Intelligent systems | - |
dc.subject.keywordPlus | Luminance | - |
dc.subject.keywordPlus | Noise abatement | - |
dc.subject.keywordPlus | Singular value decomposition | - |
dc.subject.keywordPlus | Stereo image processing | - |
dc.subject.keywordPlus | Contrast adjustment | - |
dc.subject.keywordPlus | Contrast Enhancement | - |
dc.subject.keywordPlus | Image composition | - |
dc.subject.keywordPlus | Luminance component | - |
dc.subject.keywordPlus | Stereo-image | - |
dc.subject.keywordPlus | Stereoscopic image | - |
dc.subject.keywordPlus | Subjective quality | - |
dc.subject.keywordPlus | Weighted approximation | - |
dc.subject.keywordPlus | Image processing | - |
dc.subject.keywordAuthor | contrast adjustment | - |
dc.subject.keywordAuthor | contrast enhancement | - |
dc.subject.keywordAuthor | singular value decomposition | - |
dc.subject.keywordAuthor | stereo image | - |
dc.subject.keywordAuthor | weighted approximation | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/7361271 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.