A medical image compression system has emerged as one of the most important issues nowadays due to the fact that the growing number of medical images is overwhelming every year. One of the compression processes is the transformation, in which it is the most topic discussed among researchers. This paper presents an approach comparison towards compression algorithm development using discrete wavelet and curvelet transforms. Three different medical modalities such as computer tomography (CT), magnetic resonance imaging (MRI) and ultrasound images are used as the input image. The proposed algorithm development is designed using LabVIEW software and the performance evaluation is conducted based on two parameters; peak signal to noise ratio (PSNR) and compression ratio (CR). Results obtained for the transform algorithm using curvelet transform implementation exhibits promising results compared to the wavelet transform.
Volume 12 | 04-Special Issue
Pages: 1518-1523
DOI: 10.5373/JARDCS/V12SP4/20201631