离散余弦变换(DCT)应用于图像压缩与编码具有实现简单、压缩效率高等优点，但是无法与快速、高效的嵌入式零块编码算法相结合。提出一种新的基于嵌入式零块编码的离散余弦变换系数分布模型，通过系数聚类使离散余弦变换后的图像系数能够具有小波变换后图像系数的分布特点。在编码过程中，对嵌入式零块编码中的四叉树分割框架进行了优化。实验结果表明，新算法不仅降低了嵌入式零块编码的编码复杂度，而且在相同输出码率条件下，峰值信噪比(SNR)高于联合图像专家组(JPEG)图像压缩标准。

Discrete cosine transform (DCT) is an excellent transform because of its simple realization and high efficiency of compression. However, DCT cannot be combined with the fast and efficient zero-block coding algorithm perfectly. A new image coefficient distribution model using DCT is proposed based on the embedded zero-block coding algorithm. This model can make the same image coefficient distribution of DCT as that of discrete wavelet transform by coefficient clustering. During coding, the quadtree partitioning scheme of embedded zero-block coding is optimized. Experiment results show that the new algorithm can not only reduce the coding complexity, but also provides peak signal to noise ratio (SNR) performance better than baseline joint picture expert group (JPEG) at the same output bit rates.