Efficient embedded subband coding algorithm for DCT image compression
Jun Chen, Chengke Wu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
A low memory embedded subband image coding algorithm based on the discrete cosine transform (DCT) with low complexity and high performance is presented in this paper. The zerotree-based coder SPIHT and the zeroblock-based coder SPECK have found more successful application in wavelet image compression. Xiong et al.'s EZDCT scheme also employs the zerotree structure and fulfills a DCT-based embedded zerotree quantizer with its performance outperforming the baseline JPEG and improved JPEG. We point out the zerotree structure of DCT is not efficient in embedded DCT coder. Without relying on the zerotree structure, we propose a more efficient embedded subband codec based on the zeroblock partitioning for the DCT image (ESDCT) with lower memory requirements and higher compression performance. A comparison reveals that PSNR results of our ESDCT and are 0.5-1.5 dB higher than those of EZDCT and the compression performance is slightly superior to SPIHT in some cases.