神经网络图象复原方法的研究进展  

Review of Neural Network for Image Restoration

作　　者：柏森[1] 张邦礼[1] 曹长修[1] 

机构地区：[1]重庆大学自动化学院

出　　处：《中国图象图形学报（A辑）》2002年第11期1105-1112,共8页Journal of Image and Graphics

基　　金：重庆市科委资助项目 (99-5 918)

摘　　要：对退化图象的复原问题 ,特别是对盲图象的复原问题 ,由于其有广泛的应用前景 ,因此引起了众多学者的研究兴趣 .神经网络因其固有的优点 ,一直备受各领域研究者的重视 .其在图象复原领域的应用也越来越受到广泛的关注 ,而且其发展正在从对“半盲图象”的复原逐步向对“盲图象”复原过渡 .为了使人们对图象复原方法有一系统的了解 ,以便对从事该项研究的人员有所借鉴 ,首先简要介绍了图象复原的背景知识 ,因为只有了解这些基本的概念、理论和方法 ,同时了解了当前图象复原的其他方法的现状后 ,才能很好地理解神经网络图象复原的长处和不足 ,才能把握图象复原的全貌 ;然后 ,对神经网络图象复原的数学模型和方法进行了简短的叙述 ;最后 ,专注于神经网络图象复原 ,重点地对这一领域的背景、现有算法、研究进展和现状进行了综述 。The problem of restoring degraded images, and blind images especially, arouses many scholars' interest, since the prospects of their applications are wide. Neural network with many inherent merits is attached importance by researcher in all fields. Its application on images processing comes in for great attention. The development trend is transiting from semi blind image restoration to blind images restoration. Firstly, this paper provides simply a background for reader regarding the subject of image restoration. Understanding the fundamental theory, methods and concepts, and the current state of the art in the field of image restoration is vitally important to the understanding of the image restoration using neural network. Secondly, this paper presents a short description on image restoration using neural network and its mathematical model. Finally, we give mostly an overview of neural network for image restoration; including the background, current algorithm, applications and research topics, in the effort to motivate the research works on this field in our country.

关 键 词：神经网络 图象复原 点扩展函数 正则化参数 噪声 图象处理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP183[自动化与计算机技术—计算机科学与技术]