針對傳統小波變換過程復雜的缺點和SPIHT算法編碼過程重復運算、存儲量大的問題,首先分析了小波基和小波分解層數的選擇,然后提出了一種新的可變閾值的SPIHT算法,該算法利用可變閾值對SPIHT算法中不重要像素列表(LIP)和不重要系數列表(LIS)進行分類得到一種更有效的編碼算法.仿真結果表明,該算法的壓縮整體性能要好于SPIHT算法.-Wavelet transform for the traditional complex process shortcomings and repeat the process of SPIHT coding algorithm computation, the problem of storage capacity, first of all an analysis of wavelet and wavelet decomposition level of choice, and then a new threshold variable SPIHT algorithm The algorithm uses a variable threshold is not important to the SPIHT algorithm in the list of pixels (LIP) and list of important factors (LIS) classification has been a more efficient coding algorithm. The simulation results show that the algorithm is better than the overall performance of compression SPIHT algorithm.