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数字影像无损压缩算法研究
引用本文:王志炬,赵洪伟,韩立权. 数字影像无损压缩算法研究[J]. 无线电工程, 2009, 39(4): 41-43
作者姓名:王志炬  赵洪伟  韩立权
作者单位:1. 中国人民解放军63968部队,吉林,白城137001
2. 长春工业大学,计算机科学与工程学院,吉林,长春130021
摘    要:建立在DICOM标准实现数字影像采集的基础上,阐述了影像数字化的总体方案。在影像压缩存储中,重点研究了基于整数小波变换的压缩算法,针对数字图像具有高度相关性的特点,提出了基于适形离散小波变换(SA-DWT)与整数小波变换相结合的影像无损压缩算法,该算法有效地提高了数字图像的压缩率。给出了相关算法的实现及实验效果分析。

关 键 词:数字化影像  无损压缩  DICOM标准  适形离散小波变换  整数小波变换

Research on Lossless Compression Technology of Digital Image
WANG Zhi-ju,ZHAO Hong-wei,HAN Li-quan. Research on Lossless Compression Technology of Digital Image[J]. Radio Engineering of China, 2009, 39(4): 41-43
Authors:WANG Zhi-ju  ZHAO Hong-wei  HAN Li-quan
Affiliation:WANG Zhi-ju ZHAO Hong-wei, HAN Li-quan(1. The Unit 63968 of PLA, Baieheng Jilin 137001, China; 2. College of Computer Science and Engineering, Changchun University of Technology, Changchun Jilin 130021, China)
Abstract:The paper, based on the Digital Image Collection through Digital Imaging Communication in Medicine (DICOM) standards, clarifies collectivity project of Digital Image. In image compress and storage, some compression algorithms based on Integer Wavelet Transform (IWT) are studied in detail. According to the imaging characteristics of digital image equipments, it gives the research on lossless .,ompression technology based on Shape Adaptive Discrete Wavelet Transform (SA-DWT) and Integer Wavelet Transform (IWT) together. Finally, it gives the implementation of related algorithms and result analysis.
Keywords:digital image  lossless compression  DICOM standards  SA-DWT  IWT
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