| 神经网络在图象压缩编码中的应用 |
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| 引用本文： | 黄忠保. 神经网络在图象压缩编码中的应用[J]. 湖北师范学院学报(自然科学版), 1997, 0(6) |
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| 作者姓名： | 黄忠保 |
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| 作者单位： | 湖北师范学院计科系 |
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| 摘 要： | 讨论神经网络在图象压缩编码领域中的应用.针对图象矢量量化存在的分块效应问题,对Kohonen自适应模型进行了研究.应用了两个DCT的余弦变换域的特征值,结合Kohonen的自组织特征映射(SOFM)算法对图象元素分类压缩编码.计算机模拟实验表明,和单纯用神经网络直接进行矢量量化相比,应用这种技术的图象编码压缩比和译码图象质量都有明显的提高.
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| 关 键 词： | 矢量量化 神经网络 DCT特征值 图象压缩编码 |
APPLICATION OF NEURAL NETWORK IN COMPRESSION CODING OF IMAGE |
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| Huang Zhongbao. APPLICATION OF NEURAL NETWORK IN COMPRESSION CODING OF IMAGE[J]. Journal of Hubei Normal University(Natural Science), 1997, 0(6) |
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| Authors: | Huang Zhongbao |
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| Affiliation: | Department of Computer Science |
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| Abstract: | The application of neural network in image compression coding is discussed. Based on blocking effect of vector quantization of image,Kohonen's self-organizing feature maps(SOFM) was stud-ied.Image element was classified compression coding with two eigenvalues of DCT (Discrete Cosine Trans-form) and to combine SOFM algorithm. The results of computer simulation show compression coding of im-age quality comparing with. direct vq and compression coding of image are grently improved. |
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| Keywords: | vector quantization neural network DCT feature image compression coding |
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