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图像菱形块自适应矢量量化压缩编码

ADAPTIVE VECTOR QUANTIZATION COMPRESS COLING OF RHOMB IMAGE
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摘要 充分利用视觉生理和心理学特性,把图像分成菱形块,根据韦伯定理设定一个滤波器,把图像块分成三个区域块,采用改进SOFM神经网MSFOM来训练各分类块,并编制码书。实验结果“块效率”明显改善。 Images are separated into rhombs by making a full are of the characteristic of sight physiology and psychology. According to Weber's Law a filter is designed to separate the image' block into three district. The experiment is to train each block and code without classification by adopting a modified SOFM Neural Nerwork (MSOFM). The experiment results in grently improved 'blocking effect'.
出处 《湖北师范学院学报(自然科学版)》 1999年第2期42-44,共3页 Journal of Hubei Normal University(Natural Science)
关键词 矢量量化 视觉 自组织特征模型 菱形块 Vector quantization sightMSOFM rhomb block
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