一种联合空域和频域的图像恢复方法  

Joint image algorithm method in space and frequency domain

作　　者：李鑫欣[1] 徐伯庆[1] 张欣[1] 

机构地区：[1]上海理工大学光电学院,上海200093

出　　处：《仪器仪表学报》2006年第z3期2157-2159,共3页Chinese Journal of Scientific Instrument

基　　金：上海理工大学博士启动基金(X515)

摘　　要：针对图像退化模型的特点,提出一种在空域和频域联合恢复模糊图像的算法。首先在空域中对降质图像去嗓,而后,在频域中提出由约束最小二乘方的方法改进的图像恢复方法。实验表明:这种空域和频域联合恢复图像的方法既滤除了噪声,又降低了频域反卷积时引起的边缘模糊等振铃效应,获得了很好的视觉效果。According to the characteristics of image degradation model , a joint image restoration algorithm in space and frequency domain is presented. First, we remove the noise of the degraded image in space domain. Then an improved image restoration method is presented based on the constrained least squares filter. The experiments show that this method can not only remove the noise, but also minimize the ringing, and has a good vision effect.

关 键 词：退化模型 图像恢复 自适应中值滤波器 最小约束二乘方滤波器 

分 类 号：TH7-55[机械工程—仪器科学与技术]