Embedded medical image compression using DCT based subband decomposition and modified SPIHT data organization
Embedded medical image compression using DCT based subband decomposition and modified SPIHT data organization
复制标题
使用基于 DCT 的子带分解和修改的 SPIHT 数据组织进行嵌入式医学图像压缩
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
S. Tai
中科院分区：
文献类型：
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作者：
Yen;S. Tai
本文采用8/spl次/8DCT方法进行子带分解，然后进行改进的SPIHT数据组织和熵编码。平移函数具有保留图像的细节特征的能力。通过一个简单的变换来收集具有相同频域的DCT频谱数据，平移函数将所有单个块的所有特征利用到全局框架中。在该方案中，可以使用与高频子带中的相同空间位置对应的无关紧要的DCT系数，通过与修改的SPIHT相关联地提出的组合函数来减少冗余。仿真结果表明，嵌入式DCT-CSPIHT图像压缩算法的计算复杂度仅为小波子带分解算法的1/4，在相同码率下，与JPEG 2000和原始SPIHT相比，其重构医学图像的峰值信噪比和感知效果都有明显改善。
In the paper, an 8/spl times/8 DCT approach is adopted to perform subband decomposition, followed by modified SPIHT data organization and entropy coding. The translation function has the ability to retain the detail characteristics of an image. By means of a simple transformation to gather the DCT spectrum data with the same frequency domain, the translation function exploits all the characteristics of all individual blocks to a global framework. In this scheme, insignificant DCT coefficients that correspond to the same spatial location in the high-frequency subbands can be used to reduce the redundancy by a combined function proposed in associated with the modified SPIHT. Simulation results showed that the embedded DCT-CSPIHT image compression reduced the computational complexity to only a quarter of the wavelet based subband decomposition and improved the quality of the reconstructed medical image in terms of both the peak PSNR and the perceptual results over JPEG2000 and the original SPIHT at the same bit rate.
影响因子：
5.4
作者：
W. B. Pennebaker;Joan L. Mitchell
通讯作者：
W. B. Pennebaker;Joan L. Mitchell