Title: A simple and novel algorithm for medical image compression

Authors: Robinson P. Paul; Chintan K. Modi; Rahul K. Kher

Addresses: Department of Electronics & Communication Engineering, G.H. Patel College of Engineering & Technology, Bakrol Road, Vallabh Vidyanagar 388120, Gujarat, India ' Department of Electronics & Communication Engineering, G.H. Patel College of Engineering & Technology, Bakrol Road, Vallabh Vidyanagar 388120, Gujarat, India ' Department of Electronics & Communication Engineering, G.H. Patel College of Engineering & Technology, Bakrol Road, Vallabh Vidyanagar 388120, Gujarat, India

Abstract: The use of digital medical images is increasing very fast. Medical images, like CT scan, Ultrasound, Dental X-ray etc, require large amounts of memory storage. Even to transmit an image over a wireless or LAN network could take more time. Due to this reason medical image compression is important. Related to medical images many compression methods are available. However, the lossless (for diagnostic and legal reasons) techniques, which allow for perfect reconstruction of the original images, yield compression rates of at most 2 only, while the techniques that yield higher compression rates are lossy. To meet this challenge, we have developed a hybrid compression schemes which is diagnostically lossless with good compression ratio. Due to its simplicity the hardware realisation is also easy and cost effective compare to JPEG method.

Keywords: MSE; mean square error; PSNR; peak signal to noise ratio; CoC; correlation coefficient; compression ratio; Huffman coding; delta coding; CT scans; CT images; ultrasound images; dental X-rays; medical image compression; JPEG; medical imaging.

DOI: 10.1504/IJBET.2012.052397

International Journal of Biomedical Engineering and Technology, 2012 Vol.10 No.4, pp.333 - 350

Published online: 12 Dec 2014 *

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