摘要
图像复原是利用退化现象的某种先验知识(退化模型),按退化的逆过程重建图像的技术.分析了有约束最小平方滤波方法的理论,得出只需图像噪声均值和方差的知识就能对图像实行最佳复原,最后给出了对一幅图像进行圈积模糊和加高斯噪声操作,然后进行复原的实例.
Image restoration is an imagerebuilding technology in which image was rebuilt with some knowledge for degradation phenomena （degradation model） according to counter - process of degradation. The article analyses the principle of Constrained Least Squares Filtering ,and an optimal result for image restoration is produced by this method, which requires knowledge of only the mean and variance of the noise. Lastly an image with convolution blur and additive noise was restored, and its product was given in this paper.
出处
《南昌大学学报（工科版）》
CAS
2005年第4期85-87,共3页
Journal of Nanchang University(Engineering & Technology)
基金
国家自然科学基金资助项目(59965003)
关键词
图像复原
有约束最小平方滤波
原始图像
image restoration
constrained least squares filtering
original image
