Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 문영식 | - |
dc.date.accessioned | 2019-05-22T06:37:15Z | - |
dc.date.available | 2019-05-22T06:37:15Z | - |
dc.date.issued | 2018-06 | - |
dc.identifier.citation | 2018년도 대한전자공학회 하계종합학술대회, Page. 669-672 | en_US |
dc.identifier.uri | http://www.dbpia.co.kr/Journal/ArticleDetail/NODE07515829 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/105549 | - |
dc.description.abstract | In this paper, we propose a method to find optimal parameters for decolorization using convolutional neural networks. Decolorization is a technique for converting color images into gray images. The conventional decolorization methods have a problem that the parameter can not be determined automatically. The proposed method automatically finds optimal parameters with a deep neural network. In the experiment, the proposed method generates a visually pleasing gray image compared to the conventional method. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | 대한전자공학회 | en_US |
dc.title | 인공신경망 기반의 Decolorization 파라메터 자동 결정 방법 | en_US |
dc.title.alternative | Automatic Determination Method of Decolorization Parameter based on Deep Neural networks | en_US |
dc.type | Article | en_US |
dc.relation.page | 669-672 | - |
dc.contributor.googleauthor | 조용채 | - |
dc.contributor.googleauthor | 정우진 | - |
dc.contributor.googleauthor | 한복규 | - |
dc.contributor.googleauthor | 양현석 | - |
dc.contributor.googleauthor | 심재준 | - |
dc.contributor.googleauthor | 남대현 | - |
dc.contributor.googleauthor | 문영식 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF COMPUTING[E] | - |
dc.sector.department | DIVISION OF COMPUTER SCIENCE | - |
dc.identifier.pid | ysmoon | - |
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