一种基于小波包树的图像压缩方法

在过去十年中对图像压缩的研究呈持续增长趋势,在这个领域里最有效和最具代表性的方法是离散小波变换。图像的压缩包括变换、量化和编码。提出了图像的变换和量化方案。该算法采用小波包实现变换,在香农熵的基础上重建最佳树,并且为了量化采用了自适应阈值。相对小波变换的压缩,提供了一种很好的压缩实现。最后实验结果显示了该算法的优越性。

Image Compression Using Wavelet Packet Tree

The necessity in image compression continuously grows during the last decade,one of the most powerful and prespective approaches in this area is image compression using discrete wavelet transform.The image compression includes transform of image,quantization and encoding.This paper mainly describes the transform of image and quantization technique.The idea of wavelet packet tree is used to transform the still and colour images.This paper describes the new approach to construct the best tree on the basis of Shannon entropy.In addition,it proposes an adaptive thresholding for quantization.Compared with wavelet,the proposed algorithm provides a good compression performance.