摘要
1 引言图像恢复是图像处理学中的一个重要领域,其主要目的是利用退化图像的某种先验知识来重建或恢复原图像。图像的退化模型可表示为: Y=HX+N (1)其中y为退化图像,H为退化模型的点扩展函数,X为原始图像,N为加性高斯白噪声。
Based on the part prior knowledge of the original image, a blind restoration method for the degraded image is presented in this paper. The approach includes two main steps, namley, the estimation of the point spread function of the degraded image and the restoration by using Hopfield neural networks. A cycling procedure is used for the estimation and the restoration in order to obtain the restoration image of the higher quality. The simulation results indicate that the method is effective for the badly degraded image with less quantisation noise.
出处
《计算机科学》
CSCD
北大核心
2000年第1期67-68,共2页
Computer Science
关键词
图像恢复
神经网络
图像处理学
盲图像
Image restoration, Hopfield neural networks, Point spread function
