High Fidelity Medical Image Compression Based on Modified Set Partitioning in Hierarchical Trees.

The set partitioning in hierarchical trees (SPIHT) algorithm is an efficient method for lossy and lossless coding of natural image. This paper modified the original SPIHT algorithm, according to the characteristic that the wavelet coefficients of medical images are more centered on the low frequency than those of natural images. It is based on the idea of insignificant correlation of wavelet coefficient among the high frequency subbands respectively. In this scheme, the modified SPIHT proposes dictator to reduce the interband redundancy. Experimental results show that the proposed technique improves the quality of the reconstructed medical image in both PSNR and perceptual result when compare to JPEG2000 and original SPIHT at the same bit rate. [ABSTRACT FROM AUTHOR]