Oczeretko E, Rakowski W, Jurilewicz D
Institute of Computer Science, University of Białystok, Poland.
Nucl Med Rev Cent East Eur. 2000;3(2):153-6.
The wavelet transform is a new mathematical tool for the analysis of signals and images. The powerful lossy compression techniques are built on the wavelets.
The static liver scans (byte mode acquisition, 128 x 128 matrix size) were studied. Four level wavelet transform was performed for image compression by means of biorthogonal filters with linear phase characteristic. The SPIHT technique (Set Partition in Hierarchical Trees) was used to code the wavelet coefficients.
The compression ratios 90:1, with a good quality of decompressed images, were achieved (PSNR > 32).
The wavelet compression of scintigrams may be a useful practical tool because of substantial disk space saving and the reduction of transmission time. The decompression of images does not significantly affect their quality.
小波变换是一种用于信号与图像分析的新型数学工具。强大的有损压缩技术基于小波构建而成。
对静态肝脏扫描图像（字节模式采集，矩阵大小为128×128）进行研究。借助具有线性相位特征的双正交滤波器进行四级小波变换以实现图像压缩。采用分层树状集合分割（SPIHT）技术对小波系数进行编码。
实现了90:1的压缩比，且解压后的图像质量良好（峰值信噪比>32）。
由于能大幅节省磁盘空间并减少传输时间，闪烁扫描图的小波压缩可能是一种实用的工具。图像解压对其质量无显著影响。
