摘要
研究了Morozov偏差方程,将图像退化模型的Tikhonov正则化解构造Morozov偏差方程.用小波变换估计图像信号的噪声能量,并运用到Morozov偏差方程中,利用Morozov偏差原理迭代求取正则参数,从而得到正则化解.提出了一种具有噪声能量估计的偏差迭代图像复原正则化方法.实验表明:在图像信号噪声未知的情况下,该迭代方法的图像复原具有较快的计算收敛速度和较好的复原能力.
Morozov discrepancy equation was investigated and formulated by Tikhonov regularization solution that was derived from the degraded image model.The image noise,as the knowledge a prior,was estimated by employing wavelet transform and the equation was modified.A novel method that seeks the optimal regularization parameter by iteration with the improved Morozov discrepancy equation was proposed.The experimental results show that under a lack of the noise information of the observed image the iterative converg...
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2007年第11期59-61,共3页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(60572048)
关键词
图像复原
噪声估计
偏差原理
小波变换
image restoration
noise estimation
discrepancy principle
wavelet transform
