基于提升小波变换的SPIHT编码算法研究

Study of SPIHT image coding based on lifting wavelet transform

针对小波变换和多级树集合分裂图像编码具有浮点数运算、算法复杂等特点,采用整数实现的提升格式代替了原来的小波变换,并结合提升小波变换和DCT变换的特点,提出了一种改进方案。仿真结果表明,在相同的较低比特率情况下,与原算法相比,峰值信噪比有明显提高,取得了更优的压缩效果。

Due to the computational complexity of SPIHT,the integer-to-integer lifting scheme,which could simplify the computational process,was adopted instead of the normal wavelet transform.Integrating the characteristic of Lifting Wavelet Transform and DCT transform,the thesis advanced a new scheme.Experiments show that the PSNR value is more than that of the original SPIHT at the same bit rate.