中文说明：
由于小波及小波包技术可以将信号或图像分层次按小波基展开，所以可以根据图像信号的性质以及事先给定的图像处理要求确定到底要展开到哪一级为止，从而不仅能有效地控制计算量，满足实时处理的需要，而且可以方便地实现通常由子频带、层次编码技术实现的累进传输编码（即采取逐步浮现的方式传送多媒体图像）。这样一种工作方式在多媒体数据浏览、医学图片远程诊断时是非常必要的。另外，利用小波变换具有放大、缩小和平移的数学显微镜的功能，可以方便地产生各种分辨率的图像，从而适应于不同分辨率的图像I/O设备和不同传输速率的通信系统。相比之下，利用KL变换进行压缩编码，只能对整幅图像进行；而利用小波变换则能够比较精确地进行图像拼接，因此对较大的图像可以进行分块处理，然后再进行拼接。显然，这种处理方式为图像的并行处理提供了理论依据。
English Description：
Since wavelet and wavelet packet technology can expand the signal or image in different levels according to wavelet basis, it can determine which level to expand according to the nature of image signal and the requirements of image processing given in advance. Therefore, it can not only effectively control the calculation amount, meet the needs of real-time processing, but also can easily realize the implementation of the sub band and hierarchical coding technology The progressive transmission coding (that is, the gradual emergence of multimedia images) is adopted. This kind of working mode is very necessary in multimedia data browsing and medical picture remote diagnosis. In addition, the function of the mathematical microscope with magnification, reduction and translation can be easily generated by wavelet transform, and it can generate various resolutions easily, and thus adapt to simultaneous interpreting of different resolution I/O devices and different transmission rates. In contrast, KL transform can only compress and encode the whole image; while wavelet transform can be used to mosaic the image accurately, so the larger image can be segmented and then spliced. Obviously, this method provides theoretical basis for parallel processing of images.