Medical Image Compression Based on High Fidelity SPIHT

Abstract

Due to the bandwidth and storage limitations, medical image must be compressed before transmission. The set partitioning in hierarchical trees (SPIHT) algorithm is an efficient method for lossy and lossless coding of medical image. This paper presents some modifications on the SPIHT algorithm. It is based on the idea of insignificant correlation of wavelet coefficient among the medium and high frequency subbands respectively. In this scheme, insignificant wavelet coefficients that correspond to the same spatial location in the medium subbands can be used to reduce the redundancy by a combined function that modified SPIHT proposes. In the high frequency subbands, 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.