| 矢量量化及其硬件实现 |
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| 引用本文： | 金振玉,游志刚.矢量量化及其硬件实现[J].北京理工大学学报,1992,12(3):27-31. |
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| 作者姓名： | 金振玉 游志刚 |
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| 作者单位： | 北京理工大学电子工程系
(金振玉)，北京理工大学电子工程系(游志刚) |
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| 摘 要： | 介绍了矢量量化的基本原理。采用矢量量化方法对分辨率为512×512的数字图像进行了计算机模拟,使由原图像的8 bit/像素降到了0.5bit/像素,同时用硬件实现了矢量量化编码.在硬件实现中,其主要部件采用74S器件,用绝对值减法器作为失真运算器以及编码器.与计算机的数据交换采用DMA方式,大大降低了编码时间.完成一幅分辨率为512×512的数字图像的16:1压缩仅需9s时间。
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| 关 键 词： | 量化 编码 矢量量化 码本 码字 |
Vertor Quantization and Its Hardware Realization |
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| Jin Zhenyu You Zhigang.Vertor Quantization and Its Hardware Realization[J].Journal of Beijing Institute of Technology(Natural Science Edition),1992,12(3):27-31. |
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| Authors: | Jin Zhenyu You Zhigang |
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| Abstract: | The fundamental principles of vector quantization (VQ) are introduced and its simulation results presented.VQ coding can reduce the original image's 8bit/pel to the reconstructed image's 0.5 bit/pel, the resolution of the image being 512 by 512. At the same time , hardware realization of the VQ encoder has been implemented. The use of 74 S chips and the replacement of distortion computer by absolute subtracter in the circuit allows the time to finish VQ encoding of image to be reduced a great deal. VQ encoding of a 512 by 512 image can be done within 9 seconds, with a data compres sion ratio of 16:1. |
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| Keywords: | quantization coding/vector quantization codebook codewords distortion measure |
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