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嵌入式小波编码算法的分类研究

Sort research of embedded wavelet coding algorithms
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摘要 小波编码技术关键在于如何有效地组织和量化图像的小波变换系数,如何提高图像的压缩效率和图像的恢复质量。将较经典的小波编码方法按照小波系数的不同相关性和不同的小波变换处理进行了分类研究,分析了它们的原理和性能。最后提出了小波图像编码方法的进一步研究方向。 The key of wavelet coding technique consists of organizing and quantizing wavelet transformed coefficients,im-proving compression efficiency and improving resumption quality of image.The classical wavelet image coding methods are sorted according to different correlation of wavelet coefficients and different processing of wavelet transformation.In the end of this paper further research directions of wavelet coding methods for images are put forward.[
作者 孙文军 鲍海明 郝志航
机构地区 中国科学院长春光学精密机械与物理研究所
出处 《电视技术》 北大核心 2003年第5期4-6,17,共4页 Video Engineering
关键词 嵌入式零树编码 形态学算子 小波编码 图象压缩编码 小波系数 相关性编码 MRWD HVS EZW SPIHT LZC prediction coding in subbands operator in morphology HVS
分类号 TN919.81 [电子电信—通信与信息系统]
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参考文献10

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二级参考文献7

  • 1Daubechies I. Orthonormal bases of compactly supported wavelets. Pure Apply Math,1988, XLI:909～996
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共引文献9

电视技术
2003年 第5期

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