A listless minimum zerotree coding algorithm (LMZC) based on the fast lifting wavelet transform (FLWT) with lower memory requirement and higher compression performance is presented in this paper. Most state-of-the-art image compression techniques based on wavelet transform, such as EZW and SPIHT, exploit the dependency between the subbands in a wavelet transformed image. We propose a minimum zerotree of wavelet coefficients which exploits the dependency not only between the coarser and the finer subbands but also within the lowest frequency subband. And a new listless significance map coding algorithm based on the minimum zerotree, using new flag maps and new scanning order different from Wen-Kuo Lin et al.'s LZC, is also proposed. A comparison reveals that the PSNR results of LMZC are higher than those of LZC, and the compression performance of LMZC also outperforms that of SPIHT in terms of hardware implementation.
展开▼
