| 基于状态连续变化的Hopfield神经网络的图像复原 |
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| 引用本文： | 韩玉兵,吴乐南.基于状态连续变化的Hopfield神经网络的图像复原[J].信号处理,2004,20(5):431-435. |
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| 作者姓名： | 韩玉兵 吴乐南 |
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| 作者单位： | 东南大学,无线电工程系,南京,210096 |
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| 摘 要： | 针对图像复原提出了神经元状态连续变化的Hopfield神经网络模型,详细讨论了两种连续函数串行、全并 行复原算法的收敛性和参数选择,仿真实验表明,该模型能够精确达到能量极小点,并对复原图像的信噪比有一定的提高。
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| 关 键 词： | 图像复原 Hopfield神经网络 串行(并行)算法 正则化 |
| 修稿时间： | 2003年9月25日 |
Image Restoration Using a Modified Hopfield Neural Network of Continuous State Change |
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| Han Yubing Wu Lenan.Image Restoration Using a Modified Hopfield Neural Network of Continuous State Change[J].Signal Processing,2004,20(5):431-435. |
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| Authors: | Han Yubing Wu Lenan |
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| Abstract: | A modified Hopfield neural network model based on continuous state change is proposed to restore a degraded image. In this paper, we discuss the serial and the parallel algorithm of two continuous functions respectively, and thoroughly study the convergence and the choice of parameters. Experimental results demonstrate that this model can obtain the minimum of the energy and the SNR of the restored image has some improvement. |
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| Keywords: | image restoration hopfield neural network serial (parallel) algorithm regularization |
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