计算机应用研究2016，Vol.33Issue(10)：2881-2888,8.DOI:10.3969/j.issn.1001-3695.2016.10.001
模糊降质图像恢复技术研究进展
Research development of restoration technique of blur degraded images
杨东1
作者信息
- 1. 北京航空航天大学 自动化科学与电气工程学院，北京 100191
- 折叠
摘要
Abstract
The restoration of blur degraded images is a very classical and challenging problem in image processing.The related technique which is used to solve this problem is called restoration technique of blur degraded images or image deblurring technique. This paper researched on recent restoration technique of blur degraded images and introduced the recent research development of restoration technique of blur degraded images.Firstly,it analyzed the formation of image blurring,then reviewed the classical image deblurring algorithms in detail,showed the results of the algorithms.Based on the reviewing of the classical algorithms,this paper classified and analyzed the algorithms which were proposed in recent years.It introduced the algorithms in three aspects which in-cluded the natural image statistical property,image edge and dictionary learning,and showed the results of several representative algorithms.In the end,this paper forecasted the future of the image deblurring technique based on the above analyzing.关键词
图像去模糊/图像复原/图像梯度分布/字典学习Key words
image deblurring/image restoration/image gradient distribution/dictionary learning分类
信息技术与安全科学引用本文复制引用
杨东..模糊降质图像恢复技术研究进展[J].计算机应用研究,2016,33(10):2881-2888,8.
