| 改进的分级图像矢量量化 |
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| 引用本文： | 苏洁,冯玉才,曹忠升.改进的分级图像矢量量化[J].华中科技大学学报(自然科学版),1999,27(2):391. |
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| 作者姓名： | 苏洁 冯玉才 曹忠升 |
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| 作者单位： | 华中理工大学计算机科学与技术学院 |
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| 摘 要： | 提出了一种基于Ｐｅａｎｏ扫描的分级矢量量化算法，通过有效地利用数据间的相关性，改进了ＶＱ的性能．该算法先通过能比光栅扫描更好地保存二维数据间的相关性的Ｐｅａｎｏ扫描对原始图像进行预处理，再根据信号特性进行分级ＶＱ；还提出了基于Ｐｅａｎｏ扫描的平滑算法，有效地减小了方块效应的影响
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| 关 键 词： | 图像压缩 分级矢量量化 Peano扫描 平滑算法 |
| 修稿时间： | 1998-09-29. |
Improved Hierarchical Vector Quantizer of Images |
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| Su Jie,Feng Yucai,Cao Zhongsheng.Improved Hierarchical Vector Quantizer of Images[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,1999,27(2):391. |
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| Authors: | Su Jie Feng Yucai Cao Zhongsheng |
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| Institution: | Su Jie Feng Yucai Cao Zhongsheng |
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| Abstract: | To improve the performance of a compression algorithm based on VQ, a hierarchical VQ based on the characteristics of image data is presented. A HR (high rate) vector quantizer and a LR (low rate) vector for variable rate compression are designed with various vector dimensions and thresholds for segmentation, using quad tree and Bin tree respectively in segmentation. Classified data are encoded using TC/VQ and spatial VQ according to their characteristics. A smoothing algorithm reduces the blocking effect. Compared with standard algorithms, better objective and subjective performances are shown in the algorithms. |
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| Keywords: | image compression hierarchical vector quantization Peano scanning smoothing algorithm |
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