基于小波零树的图像压缩

在信号处理领域，利用小波变换进行多分辨率分解是非常实用有效的方法。由于表现一个图像最主要的部分是低频部分，因此利用小波在时、频域良好的局部定位特性，在金字塔结构小波变换的基础上对信号进行多分辨率分解，提取其低频成分进行压缩，就可以得到合适的具有一定压缩比的处理图像。再将压缩后信号进行阈值量化编码，就可以得到更高质量和压缩比的图像。

Image Compression Based on Wavelet Zero-tree

In the field of analyzing the information content of images,the wavelet representation is a very practical and effective method now.For the good property of wavelet in the local orientation,we can use wavelet transform to decompose image based on the pyramid structure.Because the main proportion of an image is focused on the low-frequency part,we can process a simple compression by drawing the information on the low frequency and compress it.We can quantize the result of last step by a threshold,and then get the result information of better quality and higher compression ratio.