一种针对退化图像的图像复原算法  

An Image Restoration Algorithm for Degraded Images

作　　者：陈晔 黄镘潼 廖梦清 杨冠雄 喻昕[1] CHEN Ye;HUANG Mantong;LIAO Mengqing;YANG Guanxiong;YU Xin(Department of Computer and Electronic Information,Guangxi University,Nanning,China,530004)

机构地区：[1]广西大学计算机与电子信息学院,南宁530004

出　　处：《福建电脑》2023年第7期17-20,共4页Journal of Fujian Computer

摘　　要：图像复原技术在行业内应用广泛,因此提出一种高效的复原算法是非常有必要的。本文提出了一种神经网络模型。该模型结构简单,不限制初始点的选取范围,也不需要提前计算精确的罚参数和投影算子。实验结果表明,该模型在对图像复原问题的处理上具有一定的优越性。Image restoration techniques are widely used in the industry,so it is necessary to propose an efficient restoration algorithm.In this paper,a neural network model is proposed,which has a simple structure,does not restrict the selection of initial points,and does not need to calculate accurate penalty parameters and projection operators in advance.The experimental results show that the model is superior in the processing of image restoration problems.

关 键 词：图像复原 神经网络 数字图像处理 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]