A New Application of MSPIHT for Medical Imaging

Abstract

In this paper, we propose a new application for medical imaging to image compression based on the principle of Set Partitioning In Hierarchical Tree algorithm (SPIHT). Our approach called , the modified SPIHT (MSPIHT), distributes entropy differently than SPIHT and also optimizes the coding. This approach can produce results that are a significant improvement on the Peak Signal-to-Noise Ratio (PSNR) and compression ratio obtained by SPIHT algorithm, without affecting the computing time. These results are also comparable with those obtained using the Set Partitioning In Hierarchical Tree (SPIHT) and Joint Photographic Experts Group 2000 (JPG2) algorithms.

Keywords

• Image Compression
• SPIHT
• MSPIHT
• Entropy
• Coding
• PSNR
• Compression Ratio