Medical Image Denoising and Compressing Using Discrete Orthonormal S-transform
Authors
Hao Huang, Fengrong Sun, Paul Babyn, Zhenzhen Zhou, Lixin Wang
Corresponding Author
Hao Huang
Available Online June 2015.
- DOI
- 10.2991/icecee-15.2015.62How to use a DOI?
- Keywords
- S-transform; Huffman coding; Image denoising; Image compressing
- Abstract
S-transform is an effective time-frequency analysis technique which can provide simultaneous time and frequency distribution information similar to the wavelet transform (WT); and discrete orthonormal S-transform (DOST) can reduce the redundancy of S-transform further. So we propose a medical image denoising and compressing method using DOST. We first introduce the ideas of WT based image denoising into DOST domain and propose the thresholding-based image denoising using DOST; and then we use Huffman coding in DOST domain to compress the images. Applications for fluoroscopic image and computed tomography (CT) image illustrate the good performance of the proposed method and show its high potential for diagnostic imaging.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hao Huang AU - Fengrong Sun AU - Paul Babyn AU - Zhenzhen Zhou AU - Lixin Wang PY - 2015/06 DA - 2015/06 TI - Medical Image Denoising and Compressing Using Discrete Orthonormal S-transform BT - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics PB - Atlantis Press SP - 291 EP - 296 SN - 2352-538X UR - https://doi.org/10.2991/icecee-15.2015.62 DO - 10.2991/icecee-15.2015.62 ID - Huang2015/06 ER -