本文在深入分析JPEG2000图像压缩算法的基础上,针对嵌入式平台数据处理能力较弱的缺点,提出了量化步长选择、改进的率失真处理等多种优化方案,并对离散小波变换在XScale上的数值计算问题进行了讨论,从而显著降低了算法实现的复杂度。实际结果证明,在基本不牺牲编码效率的前提下,本文提出的优化方法大幅度提高了编、解码速度——其中编码器速度提高90%左右,解码器速度提高30%左右。 Based on the analysis of the JPEG2000 image compression algorithm, aiming at the weak data processing capability of the embedded platform, several optimization schemes such as quantization step selection and improved rate distortion processing are proposed. The discrete wavelet transform The numerical calculation of the problem is discussed, thus significantly reducing the complexity of the algorithm. The actual results show that the optimization method proposed in this paper greatly improves the coding and decoding speed without sacrificing the coding efficiency, in which the speed of the encoder is increased by 90% and the decoder speed is increased by 30%.