Journal of South China University of Technology (Natural Science Edition) ›› 2006, Vol. 34 ›› Issue (6): 1-5.

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Improved SPIHT Algorithm Based on ROI Shape Estimation of M edical Image

xu Xiang-min1 Xing Xiao-fen1  Liu Wei2  Chen Xiao-chuan1   

  1. 1.College of Electronic and Information Engineering,South China Univ.of Tech.,Guangzhou 510640,Guangdong,China;2.Dep.of Electronic Science and Technology,Univ.of Science and Tech.of China,Hefei 230001,Anhui,China
  • Received:2005-05-11 Online:2006-06-25 Published:2006-06-25
  • Contact: 徐向民(1972-)，男，博士，副教授，主要从事医学视频处理、多媒体图像通信方面的研究 E-mail:xmxu@scut.edu.cn
  • About author:徐向民(1972-)，男，博士，副教授，主要从事医学视频处理、多媒体图像通信方面的研究
  • Supported by:

    广东省自然科学基金资助项目(031449，0510054)

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Abstract:

In order to improve the transmission quality and coding eficiency of medical images,a novel bitplane lifting algorithm and an improved SPIHT(Set Partitioning in Hierarchical Trees)algorithm based on ROI(Region of Interest)shape estimation is proposed.By implementing the interlaced lifting of bitplane,the relative quality of the ROI and the background becomes adjustable without transmitting any mask information.For the bitplane after the lifting,the estimated mask inform ation can be obtained by transmitting the geometric parameter of the circum rule shape of ROI.According to the estimated mask inform ation,zero trees are determined be~rehand,so that the coding bits of the image can be saved.Experimental results show that,at the same truncation bit rate,both the ROI and the whole image obtained by the improved algorithm are of better image quality than those obtained by the traditional SPIHT algorithm,and that the lower the bit rate is,the more obvious the results are.

Key words: progressive transmission, region of interest coding, set partitioning in hierarchical trees, medical image