计算机与现代化Issue(7)：85-88,4.DOI:10.3969/j.issn.1006-2475.2014.07.019
基于结构字典的图像修复算法
Image Inpainting Algorithm Based on Structured Dictionary
刘春荣1
作者信息
- 1. 北京工业大学计算机学院，北京 100124
- 折叠
摘要
Abstract
With the improvement of sparse representation theory , it is widely used to make full use of sparse property of signals to repair the image.The traditional dictionary has the problem that it cannot make full use of the correlation between dictionary at -oms and just a collection of unstructured atoms .Therefore we propose an image inpainting algorithm based on structured dictionary and illustrate the validity in image inpainting tasks .The algorithm can not only finish image inpainting task by training tighten dictionary , but also the dictionary has the merits of shift-invariance and scale flexibility and so on .关键词
结构字典/图像修复/稀疏表示/字典学习Key words
structured dictionary/image inpainting/sparse representation/dictionary learning分类
信息技术与安全科学引用本文复制引用
刘春荣..基于结构字典的图像修复算法[J].计算机与现代化,2014,(7):85-88,4.
