摘要
介绍了图像退化模型和约束最小二乘方法 (包括参变维纳滤波方法和平滑约束最小平方滤波方法 )。参变维纳滤波法和平滑约束最小平方滤波法在图像恢复的过程中分别有对图像锐化和平滑的作用。结合这两种方法的特点 ,本文由约束最小二乘方的方法推导出改进的图像恢复法。这种图像恢复方法具有前两种方法的优势。试验证明 ,用改进的图像恢复方法恢复的图像比用参变维纳滤波法恢复的图像更平滑 ,信噪比更大 ;比用平滑约束最小平方滤波法恢复的图像的边缘更突出 ,有更好的视觉效果。
The degradation model and the image restoration are introduced by the constrained least square methods including the parametric Wiener filter and the smoothing constrained least squares filter. Secondly, an improved image restoration method combining the above two is presented. The improved method is proved to keep the predominance of two methods. The smoothing and SNR of the image processed by the improved method are better than of the image processed by the parametric Wiener filter. The gray-level contrast of the image proceeded by the improved method is compared with that of the image processed by the smoothing constrained least square filter.
出处
《数据采集与处理》
CSCD
2002年第3期325-327,共3页
Journal of Data Acquisition and Processing
基金
南昌大学基础理论基金资助项目
关键词
约束最小二乘方法
图像恢复方法
参变维纳滤波器
退化模型
image restoration
parametric Wiener filter
smoothing constrain
constrained least squares
degradation model
