引用本文: | 袁卫卫,王国秋,沙基昌.混合量化与基于小波的图像压缩.[J].国防科技大学学报,1997,19(4):77-80.[点击复制] |
Yuan Weiwei,Wang Guoqiu,Sha Jichang.Hybrid Quantization in Image Compression with Wavelet Transform[J].Journal of National University of Defense Technology,1997,19(4):77-80[点击复制] |
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混合量化与基于小波的图像压缩 |
袁卫卫, 王国秋, 沙基昌 |
(国防科技大学 系统工程与数学系 湖南 长沙 410073)
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摘要: |
本文针对基于小波的图像压缩, 提出一种新的快速有效的量化方法。该方法将矢量量化的高效率和标量量化的简单性有机地结合起来, 称为混合量化(HQ-Hybrid Quantization)。它不需要进行码书训练, 不要做乘除法。并用标准测试图像与其它著名方法的压缩结果进行了比较。 |
关键词: 图像编码, 小波变换, 矢量量化, 标量量化 |
DOI: |
投稿日期:1997-01-14 |
基金项目:本文由国防预研基金和国防科大试验技术基金资助 |
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Hybrid Quantization in Image Compression with Wavelet Transform |
Yuan Weiwei, Wang Guoqiu, Sha Jichang |
(Department of System Engineering and Mathematics, NUDT, Changsha, 410073)
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Abstract: |
This paper presented a new, fast, and efficient quantization method for image compression with wavelet transform. This method combines the efficiency of Vector Quantization with the simple of Scalar Quantization. It needs neither training, nor multiplication. |
Keywords: Image Coding, Wavelet transform, Vector Quantization, Scalar Quantization |
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