Adaptive image interpolation using probabilistic neural network

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题名:	Adaptive image interpolation using probabilistic neural network
作者:	Hsieh,SH;Chen,CH
贡献者:	資訊工程研究所
关键词:	ALGORITHM
日期:	2009
上传时间:	2010-06-29 20:13:40 (UTC+8)
出版者:	中央大學
摘要:	This paper proposes an image interpolation model based on probabilistic neural network (PNN). The method adjusts automatically the smoothing parameters for varied smooth/edge image region, and takes into consideration both smoothness (flat region) and sharpness (edge region) characteristics at the same model. A single neuron, combined with PSO training, is used for sharpness/smoothness adaptation. Finally, we report the performance of these newly proposed methods in other image interpolation method. (C) 2008 Elsevier Ltd. All rights reserved.
關聯:	EXPERT SYSTEMS WITH APPLICATIONS
显示于类别:	[資訊工程研究所] 期刊論文

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