Medical Image Denoising and Compressing Using Discrete Orthonormal S-transform
Hao Huang, Fengrong Sun, Paul Babyn, Zhenzhen Zhou, Lixin Wang
Available Online June 2015.
- https://doi.org/10.2991/icecee-15.2015.62How to use a DOI?
- S-transform; Huffman coding; Image denoising; Image compressing
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
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 - 2015 2nd International Conference on Electrical, Computer Engineering and Electronics PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icecee-15.2015.62 DO - https://doi.org/10.2991/icecee-15.2015.62 ID - Huang2015/06 ER -