摘要
通过分析小波分解作为分形图像编码预分解的有效性和小波域内仿射变换的特性,提出一种基于分类的小波域内的分形图像编码方法。实验结果表明,该方法简化了编码参数,在保持图像质量(PSNR)的条件下提高了压缩效率,同时结合小波域图像的自动分类特征,显著地减少了编码时间。
With analyzing the availability of fractal image coding and the characters of affine transform in wavelet domain, a fractal image coding approach based on classifications is presented in this paper. Simulation results show that the proposed approach can simplify the encoding parameters, raise the compression rate while maintaining good image quality. In the meantime, it can speed up the encoding time by combining the characters of automatic classifications in wavelet domain.
出处
《吉林大学学报(信息科学版)》
CAS
2003年第S1期48-51,共4页
Journal of Jilin University(Information Science Edition)
基金
吉林大学青年教师基金
关键词
小波变换
分形
图像编码
Image coding
Affine transformations
Fractal
Wavelet transform