Research Article
Logarithmic Discrete Wavelet Transform for Medical Image Compression with Diagnostic Quality
@ARTICLE{10.4108/eai.14-10-2015.2261675, author={Mohammed IBRAHEEM and Khalil Hachicha and Syed Ahmed and Sylvain Hochberg and Patrick Garda}, title={Logarithmic Discrete Wavelet Transform for Medical Image Compression with Diagnostic Quality}, journal={EAI Endorsed Transactions on Pervasive Health and Technology}, volume={2}, number={8}, publisher={ACM}, journal_a={PHAT}, year={2015}, month={12}, keywords={discrete wavelet transform, medical image compression, image quality assessment, logarithmic number system}, doi={10.4108/eai.14-10-2015.2261675} }- Mohammed IBRAHEEM
Khalil Hachicha
Syed Ahmed
Sylvain Hochberg
Patrick Garda
Year: 2015
Logarithmic Discrete Wavelet Transform for Medical Image Compression with Diagnostic Quality
PHAT
EAI
DOI: 10.4108/eai.14-10-2015.2261675
Abstract
This paper presents a novel study of logarithmic discrete wavelet transform (DWT) for medical image compression. It proposes a new technique to compute the DWT using the logarithmic number system (LNS) instead of floating point arithmetic. It investigates its impact on the image quality which is an essential factor for medical images to avoid any misdiagnose. The paper presents detailed experimental results for three medical images modalities: CT, MRI and X-Ray. The results show that the LNS approach gives a significant improvement in the image quality measured with the structural similarity index (SSIM).
Copyright © 2015 M. Ibraheem et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
