An Image ROI Compression Algorithm Based on Hybrid Fractal Model

摘要

This paper proposed a novel Image ROI coding method. First, an abdominal CT image is divided into two parts, the region of interest and the region of no interest; then, the two parts are coded separately based on Huffman and Practal-SPIHT. In order to verify the validity of the algorithm, this paper compares it with the bifurcation tree algorithm and the Fisher accelerate algorithm. Image bit rate and Peak Signal to Noise Ratio (PSNR) are used as evaluation index. The experimental results show that, the proposed image ROI compression algorithm based on hybrid fractal model can guarantee the medical image has better visual effect reduces the data quantity of the image while effectively, the algorithm also has better robustness.