摘要
给出了一种基于小波分形的图像有损压缩方法，首先，利用小波变换将图像分解为不同频率的分量，然后采用分形迭代函数系统。Ｈｕｆｆｍａｎ树等方法对它们进行编码．实验表明，该算法在保证还原图像质量的情况下，有较高的压缩比。
A lose image compression based on wavelet and fractal is presented. The image is decomposed into different frequency (components by wavelet translation. Then, the components ale encoded by means of iterated function systems and Huffman tree method. Experiments show that tile method presented here has better compress ratio under guarantee tile quality of recovery image.
出处
《中山大学学报（自然科学版）》
CAS
CSCD
北大核心
2000年第2期1-5,共5页
Acta Scientiarum Naturalium Universitatis Sunyatseni
基金
国家自然科学基金资助项目!(19771089)
关键词
小波变换
迭代函数系统
图像压缩
wavelet translation
iterated function system (IfS): Huffman tree
