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Image Reflection Removal based on Knowledge-distilling Content Disentanglement
Image reflection removal
|Issue Date:||2021-11-01 11:59:48 (UTC+8)|
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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|Appears in Collections:||[資訊科學系] 學位論文|
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