A Comparison of Feature-Combination for Example-Based Super Resolution

淡江大學機構典藏 > 工學院 > 資訊工程學系暨研究所 > 會議論文 > Item 987654321/100784

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题名:	A Comparison of Feature-Combination for Example-Based Super Resolution
作者:	顏淑惠Shwu-Huey Yen Jen-Hui Tsao and Wan-Ting Liao
贡献者:	資訊工程學系暨研究所
关键词:	Super Resolution Example-based Bicubic Cascade
日期:	2014-05-13
上传时间:	2015-03-12 19:52:03 (UTC+8)
摘要:	Super resolution (SR) in computer vision is an important task. In this paper, we compared several common used features in image super resolution of example-based algorithms. To combine features, we develop a cascade framework to both solve the problem of deciding weights among features and to improve computation efficiency. Finally, we modify the framework to have an adaptive threshold such that not only the computation load is much reduced but the modified framework is suitable to any query image as well as various image databases.
關聯:	Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
显示于类别:	[資訊工程學系暨研究所] 會議論文

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A Comparison of Feature-Combination for Example-Based Super Resolution(e-version).pdf		4092Kb	Adobe PDF	654	检视/开启

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