提出了一种基于小波变换的静态图像压缩方法．将图像作多次小波分解后，对高频系数进行适当量化以减少其符号数，然后对量化后的系数作Huffman编码及RLE编码．实验证明这是一种比较有效的编码方法，消除了方块效应，且该算法可得到不同的质量等级和比特率，适合网络图像传输． A static image compression method based on wavelet transform is proposed. After the image is decomposed for many times, the high frequency coefficients are properly quantized to reduce the number of symbols. The quantized coefficients are then subjected to Huffman coding and RLE coding. Experiments show that this is a more effective coding method, eliminating the box effect, and the algorithm can get different quality levels and bit rates, suitable for network image transmission.