| 图像矢量量化—频率敏感自组织特征映射算法 |
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| 引用本文： | 黎洪松,全子一.图像矢量量化—频率敏感自组织特征映射算法[J].通信学报,1995,16(2):59-64. |
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| 作者姓名： | 黎洪松 全子一 |
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| 作者单位： | 北京邮电大学 |
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| 摘 要： | 用神经网络实现图像矢量量化是一种非常有效的方法，本文在分析自组织特征映射（ＳＯＦＭ）算法的基础上，提出了一种频率敏感自组织特征映射（ＦＳＯＦＭ）算法，并对网络学习训练参数的优化进行了探讨。实验表明，ＦＳＯＦＭ算法优于ＳＯＦＭ算法。
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| 关 键 词： | 矢量量化 图像编码 自组织特征映射 神经网络 |
Frequency Sensitive Self-Organizing Feature Maps Algorithm for Vector Quantization of Images |
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| Li Hongsong,Quan Ziyi.Frequency Sensitive Self-Organizing Feature Maps Algorithm for Vector Quantization of Images[J].Journal on Communications,1995,16(2):59-64. |
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| Authors: | Li Hongsong Quan Ziyi |
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| Abstract: | Neural network is a very efficient method for Vector Quantization(VQ).In this paper,Self-Organizing Feature Map(SOFM)algorithm has been analyzed ,Frequency Sensitive Self-Organizing Feature Maps(FSOFM)has been proposed,and the optimization of network learning parameters has been studied.Experimental results show that FSOFM algorithm is better than SOFM alogrithm. |
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| Keywords: | vector quantization image coding self-organizing feature maps neural network |
| 本文献已被 CNKI 维普 等数据库收录！ |
