Application of integer lifting wavelet transform and subblock coding to medical image compression.
- Author:
Xiaoqi LU
1
;
Xiaozhao XU
;
Lidong YANG
Author Information
1. School of Information Engineering, Inner Mongolia University of Science & Technology, Baotou 014010, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Data Compression;
methods;
Humans;
Image Interpretation, Computer-Assisted;
methods;
Information Storage and Retrieval;
methods
- From:
Journal of Biomedical Engineering
2008;25(2):241-245
- CountryChina
- Language:Chinese
-
Abstract:
The method of subblock coding for medical image compression is presented by means of the integer lifting wavelet transform. The integer lifting wavelet transform has better effects on improving the processing speed; it can achieve wavelet transform for arbitrary size image and accomplish the transform at current position; furthermore, it can save memory space. The lifting algorithm can deal with the lossless compression and loss compression of image simultaneously, so it is adapted to telemedicine system and medical image compression system. The compression method based on image subblock coding can not only realize controlling BR (bit ratio), but also realize SNR (signal noise ratio) and suit for progressive transform.
