| 基于神经网络的盲图像恢复 |
| |
| 引用本文： | 冯久超 黄海东. 基于神经网络的盲图像恢复[J]. 计算机科学, 2000, 27(1): 67-68 |
| |
| 作者姓名： | 冯久超 黄海东 |
| |
| 作者单位： | 冯久超（西南师范大学物理系 重庆 400715）;黄海东（西南师范大学物理系 重庆 400715） |
| |
| 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。
|
| 关 键 词： | 图像恢复 神经网络 图像处理学 盲图像 |
The Restoration of Blind Images Based on Neural Networks |
| |
| Abstract: | 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. |
| |
| Keywords: | Image restoration Hopfield neural networks Point spread function |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
点击此处可从《计算机科学》下载全文 |
