Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/137674


Title: 基於知識萃取之內容解構影像去反射
Image Reflection Removal based on Knowledge-distilling Content Disentanglement
Authors: 鄭楷翰
Cheng, Kai-Han
Contributors: 彭彥璁
Peng, Yan-Tsung
鄭楷翰
Cheng, Kai-Han
Keywords: 影像處理
影像去反射
Image Processing
Image reflection removal
Date: 2021
Issue Date: 2021-11-01 11:59:48 (UTC+8)
Abstract: 當我們通過玻璃等透明介質拍攝照片時,可能會出現不可避免的反射,模糊了我們想要捕捉的場景。我們提出了一種基於知識蒸餾的方式來將影像內容進行透射層及反射層的分解,進一步解決影像反射的問題。透過實驗證明,該模型具有一定的清除反射之能力。
When we shoot pictures through transparent media, such as glass, reflection can undesirably occur, obscuring the scene we intended to capture. Therefore, removing reflection is practical in image restoration. However, a reflective scene mixed with that behind the glass is challenging to be separated, considered significantly ill-posed. This letter addresses the single image reflection removal (SIRR) problem by proposing a knowledge-distilling-based content disentangling model that can effectively decompose the transmission and reflection layers. The experiments on benchmark SIRR datasets demonstrate that our method performs favorably against state-of-the-art SIRR methods.
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Description: 碩士
國立政治大學
資訊科學系
108753143
Source URI: http://thesis.lib.nccu.edu.tw/record/#G0108753143
Data Type: thesis
Appears in Collections:[資訊科學系] 學位論文

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