SPIHT(set partitioning in hierarchical tree)是一种简单、高效的小波零树图像编码算法。该文针对 SPIHT算法存储空间需求大 ,不利于硬件实现的缺点 ,引入“误差位数”、“绝对零点”和“绝对零树”的概念 ,提出了一种新的低存储量的图像编码算法 ,并利用 DSP评估板 (EVM)对新算法进行了验证。大量实践证明 ,新算法有效地降低了算法实现所需的存储空间 ,减少了时间消耗 ,易于硬件的实现。而且 ,新算法重建图像的峰值信噪比 (PSNR)指标对比 SPIHT算法仅有略微的降低 SPIHT (set partitioning in hierarchical tree) is a simple and efficient wavelet zerotree image coding algorithm. In order to overcome the shortcomings of the SPIHT algorithm, such as the need of memory space is not conducive to hardware implementation, the concept of “bit error”, “absolute zero” and “absolute zerotree” are introduced and a new low-memory image coding algorithm , And validated the new algorithm using the DSP evaluation board (EVM). A lot of practice has proved that the new algorithm effectively reduces the storage space required to achieve the algorithm, reducing the time consumption, easy hardware implementation. Moreover, the Peak Signal to Noise Ratio (PSNR) index of the new algorithm reconstructed image has only a slight decrease compared with the SPIHT algorithm