Authors : D. Ramkumar, I. Jacob Raglend and K. Batri
Abstract: Medical image compression plays a vital role in the medical field where the high quality medical images require extensive storage capacity. Researchers propose an efficient method for storing MRI brain images with a reduced storage capacity at a lesser execution time. Researchers propose a new lossless compression scheme based on Spatial Fuzzy C-Mean algorithm. The MRI brain image after skull stripping is denoised using curvelet transform and segmented into white, gray and Cerebro-Spinal Fluid (CSF) regions using spatial fuzzy. Each segmented region is then compressed using the proposed compression technique. The proposed method achieved a high compression ratio (78%) and also provides an enhanced image quality after decompression.
D. Ramkumar, I. Jacob Raglend and K. Batri, 2014. Performance Analysis of Hybrid Lossless Compression for MRI Brain Images. Asian Journal of Information Technology, 13: 260-266.