| 基于矢量量化与神经网络的调色板设计 |
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| 引用本文： | 郑咸义,张颖豪.基于矢量量化与神经网络的调色板设计[J].华南理工大学学报(自然科学版),1996(8). |
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| 作者姓名： | 郑咸义 张颖豪 |
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| 作者单位： | [1]华南理工大学应用数学系 [2]IBM中国有限公司华南分公司 |
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| 摘 要： | 用基于神经网络的关量量化方法实现面向图象的调色板设计，以均匀颜色空间的距离作失真测度，以矢量量化的码书设置颜色寄存器的颜色值。实验证明，效果令人满意。
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| 关 键 词： | 调色板 颜色空间 矢量量化 神经网络 |
VECTOR QUANTIZATION AND NEURAL NETWORKS FOR PALETTE ACCORDING TO IMAGE |
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| Zheng Xanyi,Zhang Yinghao.VECTOR QUANTIZATION AND NEURAL NETWORKS FOR PALETTE ACCORDING TO IMAGE[J].Journal of South China University of Technology(Natural Science Edition),1996(8). |
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| Authors: | Zheng Xanyi Zhang Yinghao |
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| Abstract: | Palette According to Image (PAI) is implemented using a neural network based on vector quantization technique. The distance of the uniform color space is used as the distortion measure, and the codebook of vector quantization is used to set the color table register, which shows good results. |
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| Keywords: | palette color space vector quantization neural networks |
| 本文献已被 CNKI 维普 等数据库收录！ |
