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Please use this identifier to cite or link to this item:
https://elib.vku.udn.vn/handle/123456789/3235
Title: | Single-image Dehazing using Detail Enhancement and Image Fusion |
Authors: | Nguyen, Duc Hien Nguyen, V. Tho Nguyen, Q. Hieu Nguyen, Ha Huy Cuong Tran, T.M.Hanh Tran, H.Vu |
Keywords: | image dehazing multi-exposed detail enhancement image fusion dark channel prior |
Issue Date: | Dec-2022 |
Publisher: | Tạp chí Khoa học và Công nghệ Đại học Đà Nẵng |
Abstract: | Haze is the suspension of atmospheric particles which is sufficient to reduce the visibility. Image dehazing refers to the processing tasks that lessen this negative effect. In this work, an alternative approach to single-image dehazing is developed which skips solving the haze formation equation, while still respects its hypothesis. In this method, we generated multiple under-exposed images from a single hazy input, followed by a detail enhancement process. Such resulting images were then merged using weights calculated based on the Dark Channel Prior assumption and overcame luminance enhancement. The visual improvement has been validated by both qualitative and quantitative evaluations. |
Description: | Tạp chí Khoa học và Công nghệ Đại học Đà Nẵng; Vol. 20, No.12.2; trang 25-3. |
URI: | https://jst-ud.vn/jst-ud/article/view/8233 http://elib.vku.udn.vn/handle/123456789/3235 |
ISSN: | 1859-1531 |
Appears in Collections: | NĂM 2022 |
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