政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/143300

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 110944/141864 (78%)
Visitors : 47880406 Online Users : 938

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 > Item 140.119/143300

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/143300

Title:	Image Impulse Noise Removal Using Cascaded Filtering Based on Overlapped Adaptive Gaussian Smoothing and Convolutional Refinement Networks
Authors:	彭彥璁 Peng, Yan-Tsung Huang, Sha-Wo
Contributors:	資科系
Keywords:	Denoising;cascaded filtering;adaptive Gaussian filtering;convolutional refinement networks
Date:	2021-10
Issue Date:	2023-02-06 14:30:30 (UTC+8)
Abstract:	Impulse noise is often introduced to images when captured through image sensors due to sharp and sudden disturbances in the image signal, analog-to-digital converter errors, sensor temperature, etc., severely degrading their visual quality. Therefore, it is essential to develop an effective method to remove image noise. We propose a novel image denoising method for “salt-and-pepper” (SP) noise, using cascaded filtering based on overlapped adaptive Gaussian smoothing (OAGS) and the convolutional refinement networks (CRNs). First, the noisy input image can be preliminarily denoised by OAGS, where the noisy pixels are removed and recovered. The CRNs refine the result by restoring fine details for the denoised image. Through extensive experimental results, we demonstrate the proposed method substantially outperforms other state-of-the-art denoising methods, especially for high-density SP noise.
Relation:	IEEE Open Journal of the Computer Society, Vol.2, pp.382-392
Data Type:	article
DOI 連結:	https://doi.org/10.1109/OJCS.2021.3117738
DOI:	10.1109/OJCS.2021.3117738
Appears in Collections:	[資訊科學系] 期刊論文

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML2	100	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...