Applications that demand very high resolution imagery are well suited to multi-resolution, progressive image compression. Currently, applying embedded zerotree coding to wavelet decomposition is popular. Though state-of-the-art, this approach is prone to visual artifacts caused by an uneven introduction of detail. Maintaining perceptually acceptable results at every bit-rate in the lossy-to-lossless progression requires a reordering of wavelet information. This paper discuses some modifications and generalizations to zerotree coding. The approach is to rearrange image information according to how humans perceive quality.
"New approach to high-quality progressive image compression", Proc. SPIE 2663, Very High Resolution and Quality Imaging, (16 February 1996); doi: 10.1117/12.233027; https://doi.org/10.1117/12.233027