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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29097

    Title: Adaptive image interpolation using probabilistic neural network
    Authors: Hsieh,SH;Chen,CH
    Contributors: 資訊工程研究所
    Keywords: ALGORITHM
    Date: 2009
    Issue Date: 2010-06-29 20:13:40 (UTC+8)
    Publisher: 中央大學
    Abstract: 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.
    Appears in Collections:[資訊工程研究所] 期刊論文

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