| 一种学习向量神经网络的图像插值算法 |
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| 引用本文： | 贾超,艾东,姚芳,邹琪,王蓓蓓.一种学习向量神经网络的图像插值算法[J].电子技术,2009,46(3):83-86. |
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| 作者姓名： | 贾超 艾东 姚芳 邹琪 王蓓蓓 |
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| 作者单位： | 燕山大学,计算机科学与信息工程学院 |
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| 摘 要： | 利用一种新型学习向量神经网络实现了对灰度图像的基于最佳点对匹配的图像插值。采用新型学习向量神经网络的最佳点对匹配图像插值算法插值出的中间图像，较好的解决了插值图像边缘模糊的现象。试验结果表明,该方法插值得到的图像边界清晰较好，模糊度小，图像连续。
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| 关 键 词： | 学习向量 神经网络 图像插值 点对匹配算法 |
An Application of Learning Vector Neural Network to Image Interpolation |
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| Jia Chao,Ai Dong,Yao Fang,Zhou Qi,Wang Beibei.An Application of Learning Vector Neural Network to Image Interpolation[J].Electronic Technology,2009,46(3):83-86. |
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| Authors: | Jia Chao Ai Dong Yao Fang Zhou Qi Wang Beibei |
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| Institution: | Computer Science&Information Engineering college;Yanshan University |
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| Abstract: | Via using New Type Learning Vector neural network finding corresponding points in both original images interpolating a gray-scale image is proposed.Basing on finding corresponding points New Type Learning Vector neural network can resolve the blurred phenomena on image interpolation. Experiment proves that the image interpolation using this method is better and the edge is clear, the blurred phenomena can be reduced to the lowest degree and the image is continuous. |
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| Keywords: | Learning Vector Neural Network Image Interpolation finding corresponding points |
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