X_射线图像压缩算法的研究

Research of X-ray Image Compression Algorithm

为对边远地区进行更好的医疗服务,远程医疗是目前较常用的一种方法。在远程医疗过程中,为了实现图像的经济存储与快速传输,需对图像进行压缩。分析了X_射线图像以及经小波变换后系数的特点,提出了基于9-7整数小波变换的改进的SPIHT算法,将传输图像进行压缩后,对系数的低频部分按原比特传输。实验结果表明,该算法所得图像的峰值信噪明显优于原始SPIHT算法,同时编码速度比原始算法更有效率。

For the better special medical services of the remote areas,telemedicine is a common method at the present.In order to achieve economic storage and fast transfer of the images,medical image should be compressed.In this paper,X-ray images and the characteristic of coefficients by using wavelet transform were analyzed firstly.On that basis,the images were compressed by SPIHT algorithm.An enhanced SPIHT algorithm on the basis of 9-7-tap integer wavelet transform was presented,the low-frequency approximate part of the wavelet coefficients was transferred in the form of binary bit.It is proved that the PSNR and the coded time of the compressed images have been improved according to the simulation result.