Counterlight Region Detection and Contrast Enhancement using Convolutional Neural Network
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 문영식 | - |
dc.date.accessioned | 2025-04-01T09:32:29Z | - |
dc.date.available | 2025-04-01T09:32:29Z | - |
dc.date.issued | 2016-10 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/123245 | - |
dc.description.abstract | Undesired counterlight disturbs the recognition of the subject. Therefore, the automatic detection and enhancement for the counterlight is important to improve the quality of the digital camera and the smartphone. In this paper, we proposed a method to detect the dark region map and enhance the contrast of the counterlight image. The proposed method detects the dark region map and enhances the counterlight image using convolutional neural network. At the experiment the proposed method successfully revealed the detail of dark region. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | Counterlight Region Detection and Contrast Enhancement using Convolutional Neural Network | - |
dc.type | Conference | - |
dc.citation.title | The International Conference on Consumer Electronics (ICCE) Asia 2016 | - |
dc.citation.startPage | 466 | - |
dc.citation.endPage | 467 | - |
dc.citation.conferencePlace | 미국 | - |
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