Embedded Medical Image Coding Using Quantization Improvement of SPIHT

摘要：

In this paper we investigate the problem of how to quantize the wavelet coefficients in the lowest frequency subband with multi-scalar method. A new quantization implementation of efficient lossy medical image compression using the Set Partitioningin Hierarchical Trees (SPIHT) algorithm at low bit rates is proposed. First, in the higher bit plane, this algorithm only quantizes the wavelet coefficients in the lowest frequency subband. Then it quantizs other ones by uniform scalar. Experiment results have shown the proposed scheme improves the performance of wavelet image coders. In particular, it will get better coding gain in the low bit rate image coding.

关键词： embedded coding bit plane medical image quantization quantization

作者: Wentao Wang Guoyou Wang Tianxu Zhang Guangping Zeng

作者单位: Institude for Pattern Recognition and Artificial Intelligence,Huazhong University of Science and Tec Institude for Pattern Recognition and Artificial Intelligence,Huazhong University of Science and Tec College of Computer Science,South-Central University for Nationalities Wuhan,China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）