Quantization performance in SPIHT and related wavelet image compression algorithms

The set partitioning in hierarchical trees (SPIHT) image coding algorithm is observed to provide progressive classification of the wavelet coefficients. The achievable quantization performance of the induced classes is evaluated for entropy coded scalar quantization and trellis coded quantization, and is compared to the first-order rate distortion function.