Lifting Scheme的Haar小波在医学图像压缩中的应用研究

The application of Haar wavelet based on Lifting Scheme in medical image compression

针对医学图像进行实时传输和大量存储时需要进行压缩处理的需求,论述了Lifting Scheme的Haar小波在医学图像压缩中的应用方法。首先,分析了Haar小波的变换原理,然后阐述了基于提升Haar小波的医学图像压缩算法。实验表明,在压缩比和峰值信噪比等评价参数方面,基于Lifting Scheme的Haar小波算法在医学图像压缩中取得了较好效果。

Abstract： According to the compression in the real-time transmission and a large amount of storage for medical image, the application of Haar wavelet based on the Liffing Scheme in the medical image compression has been discussed. The principle of Haar wavelet change is firstly analyzed, and then the medical image compression al- gorithm of Haar wavelet based on the Lifting Scheme is discussed. Experiments show that the algorithm of Haar wavelet based on the Lifting Scheme have obtained good results in evaluation parameters such as the medical im- age compression ratio and the ratio of the peak signal to noise.