• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2010, Vol. 32 ›› Issue (8): 84-86.doi: 10.3969/j.issn.1007130X.2010.

• 论文 • 上一篇    下一篇

基于小波变换的ROI图像压缩改进算法研究

王晓芳,邱书波,张绪光   

  1. (山东轻工业学院电子信息与控制工程学院,山东 济南 250353)
  • 收稿日期:2009-07-06 修回日期:2009-09-28 出版日期:2010-07-25 发布日期:2010-07-28
  • 作者简介:王晓芳(1974),女,安徽桐城人,硕士,讲师,研究方向为小波变换和图像压缩;邱书波,博士,教授,研究方向为工业测控计算机网络、智能测控仪表、机器视觉检测理论与技术。
  • 基金资助:

    山东省自然科学基金资助项目(Y2008G15)

A Study of the Improved Algorithm of ROI Image Compression Based on Wavelet Transform

WANG Xiaofang,QIU Shubo,ZHANG Xuguang   

  1. (School of Electronic Information and Control Engineering,Shandong Institute of Light Industry,Jinan 250353,China)
  • Received:2009-07-06 Revised:2009-09-28 Online:2010-07-25 Published:2010-07-28

摘要:

小波变换作为一种多分辨率分析方法,具有良好的空频局部特性,特别适合按照人类视觉系统特性设计图像压缩编码方案。基于小波变换的嵌入式编码算法能够有效地应用于基于感兴趣区域 (ROI)的图像压缩与渐进传输。为了进一步提高效率并改善图像压缩传输的效果,本文在该算法的基础上提出了两点改进:(1)计算感兴趣区域模板时,将数学上的“排列组合”思想应用于传统的回溯法,使计算过程更加简单;(2)在对小波系数嵌入式编码时,牺牲图像背景区域的细节系数以获取感兴趣区域更高的解码质量。最后给出了改进算法的部分实验结果,证明了改进算法的有效性。

关键词: 图像压缩, 感兴趣区域, 排列组合, 嵌入式编码, 小波变换

Abstract:

Wavelet transform, as a method of multiresolution analysis, which has good characteristics of spacefrequency ,is especially suitable for image coding based on human vision.The algorithm of embedded coding based on wavelet transform can be applied to image compression and progressive transmission effectively. In this paper, the traditional algorithm is improved in two ways to increase the efficiency of image coding and transmission. First, the idea of permutation and combination in mathematics is applied to the traditional method of backtracking in calculating the ROI model. Second, the wavelet coefficients of the background are rejected from the embedded coding stream of wavelet coefficients to achieve higher quality of decoded ROI images. Some experimental results of the improved algorithm are provided at the end of this paper to prove the validity of the improved algorithm.

Key words: image compression;region of interest;permutation and combination;embedded coding;wavelet transform