This paper proposes several low complexity algorithmic modifications to the SPIHT (Set Partitioning in Hierarchical Trees) image coding method of [3]. The modifications exploit universal traits common to the real world images. Approximately 1-2 % compression gain (bit rate reduction for a given mean squared error) has been obtained for the images in our test suite by incorporating all of the proposed modifications into SPIHT.
Ulug Bayazit, William A. Pearlman