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政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 > Item 140.119/143301

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/143301

Title:	Single Image Reflection Removal Based on Knowledge-Distilling Content Disentanglement
Authors:	彭彥璁 Peng, Yan-Tsung Cheng, Kai-Han;Fang, I-Sheng;Peng, Wen-Yi;Wu, Jr-Shian
Contributors:	資科系
Keywords:	Image reflection removal;knowledge distillation;content disentanglement
Date:	2022-02
Issue Date:	2023-02-06 14:30:33 (UTC+8)
Abstract:	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.
Relation:	IEEE Signal Processing Letters, Vol.29, pp.568-572
Data Type:	article
DOI 連結:	https://doi.org/10.1109/LSP.2022.3148668
DOI:	10.1109/LSP.2022.3148668
Appears in Collections:	[資訊科學系] 期刊論文

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