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基于多级零树编码的小波系数网格编码量化 被引量：1

TCQ OF WAVELET COEFFICIENTS BASED ON MULTI-STAGE ZEROTREE CODING
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摘要 该文提出了对小波图像作多级零树编码后进行网格编码量化(TCQ)的新方法。首先利用子带间的相关性进行零树编码,然后利用卷积编码和信号空间扩展来增大量化信号间的欧氏距离,并用Viterbi算法寻找最优量化序列。仿真结果表明,该方法比零树编码后采用最优量化要提高0.3dB左右。该方法还具有编码计算复杂度适中,解码简单的优点。 A new method which performs Trellis Coded Quantization(TCQ) of wavelet coefficients based on multi-stage zerotree coding is proposed. First, the zerotree coding utilizes correlation between the subbands, then convolutional coding and signal space expanding are used for increasing Euclidian distance between signals. Finally, Viterbi algorithm is used to find a optimized survived quantized sequence.Simulation states that this method has an advantages of 0.3dB or so over optimized scalar quantization after zerotree coding. The method also has such capability that it has only modest encoding complexity with simple decoding.
作者 郑勇 周正华 朱维乐
机构地区 电子科技大学电子技术系
出处 《电子与信息学报》 EI CSCD 北大核心 2002年第12期1899-1905,共7页 Journal of Electronics & Information Technology
关键词 多级零树编码 小波系数 小波变换 网格编码量化 VITERBI算法 图像信号 Wavelet transform, Zerotree coding, Trellis Coded Quantization(TCQ), Viterbi algorithm
分类号 TN911.73 [电子电信—通信与信息系统]
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参考文献10

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同被引文献12

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电子与信息学报
2002年 第12期

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