摘要
研究了基于子波变换的图象最小二乘恢复技术，提出了一种具有子带适应性的选代算法实验结果表明，采用该算法的恢复图象的质量和迭代收敛的速率均优于常规的空域解法．
In this paper, the wavelet transform based least square image restoration is studied. A subband adaptive iterative algorithm is proposed. The experimential results show that the proposed algorithm is superior to the general spatial domain algorithm in terms of the visual quality of the reconstructed image and the iterative convergence speed.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
1998年第10期59-63,共5页
Journal of South China University of Technology(Natural Science Edition)
基金
北京大学视觉与听觉信息处理国家实验室资助
关键词
图象恢复
最小二乘法
子带适应
图象处理
image restoration
least square algorithm
wavelet transform
subband adaptive
