An improved partial SPIHT with classified weighted rate-distortion optimization for interferential multispectral image compression
王柯俨 王柯俨, 李云松 李云松, 孔繁锵 孔繁锵, 吴成柯 吴成柯, Keyan Wang, C. Wu, Fanqiang Kong, Lei Zhang · Chinese Optics Letters · 2008
Based on the property analysis of interferential multispectral images, a novel compression algorithm of partial set partitioning in hierarchical trees (SPIHT) with classified weighted rate-distortion optimization is presented. After wavelet decomposition, partial SPIHT is applied to each zero tree independently by adaptively selecting one of three coding modes according to the probability of the significant coefficients in each bitplane. Meanwhile the interferential multispectral image is partitioned into two kinds of regions in terms of luminous intensity, and the rate-distortion slopes of zero trees are then lifted with classified weights according to their distortion contribution to the constructed spectrum. Finally a global rate-distortion optimization truncation is performed. Compared with the conventional methods, the proposed algorithm not only improves the performance in spatial domain but also reduces the distortion in spectral domain.