政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/75330

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113392/144379 (79%)
Visitors : 51204722 Online Users : 918

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

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大典藏 > College of Informatics > Department of Computer Science > Proceedings > Item 140.119/75330

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75330

Title:	A sharpness measure for image quality assessment using average effective number of neighbors
Authors:	Liao, Wen-Hung 廖文宏
Contributors:	資科系
Keywords:	Artificial intelligence;Effective approaches;effective number of neighbors;Image quality assessment;Image quality metrics;Imaging device;No-reference images;Quality metrices;Sharpness measures;Image quality
Date:	2013-12
Issue Date:	2015-05-26 18:28:26 (UTC+8)
Abstract:	The proliferation of portable and miniaturized imaging devices, coupled with the prevalence of communication networks have changed the way we create and share photos. Indices for image quality have been proposed extensively to evaluate the recorded photograph. In this paper, we first delineate the desirable properties of an image quality metric. We then describe a computationally effective approach to assess the sharpness of a photo so that images of poor focus can be identified. The proposed method attempts to measure the integrity of major structures by computing the effective number of neighbors (ENN) for strong edge pixels in an image. Simulations and experimental results indicate that this ENN-based metric conforms to all the desired properties of a quality metric and is able to estimate the blurredness effectively and efficiently. © 2013 IEEE.
Relation:	Proceedings - 2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, 2013, 論文編號 6783859, 152-157, 2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013; Taipei; Taiwan; 6 December 2013 到 8 December 2013; 類別編號E2528; 代碼 104746
Data Type:	conference
DOI link:	http://dx.doi.org/10.1109/TAAI.2013.40
DOI:	10.1109/TAAI.2013.40
Appears in Collections:	[Department of Computer Science ] Proceedings

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML2	889	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...