基于学习的超分辨率技术

被引:19
作者
郑丽贤
何小海
吴炜
杨晓敏
陈默
机构
[1] 四川大学电子信息学院图像信息研究所
关键词
超分辨率; 马尔可夫随机场; 图像金字塔;
D O I
暂无
中图分类号
TP391.41 [];
学科分类号
080203 ;
摘要
基于学习的超分辨率算法使用一个图像训练集来产生一个学习模型,运用该模型为输入的低分辨率图像创建更多的高频信息,获得比基于重建算法更好的结果。该文介绍了基于学习的超分辨率技术的相关工作、理论基础和主要算法,提出基于学习的超分辨率算法中仍需解决的关键问题,展望其在未来的研究发展方向。
引用
收藏
页码:193 / 195
页数:3
相关论文
共 11 条
[1]  
Pattern recognition[P]. DECO GUSTAVO;SCHUERMANN BERND.中国专利:US6980689B1,2005-12-27
[2]  
Extraction of high-resolution frames from video sequences. Schultz R,Stevenson R. IEEE Transactions on Image Processing . 1996
[3]  
Learning High-order MRF Priors of Color Images. McAuley J J,Caetano T S,Smola A J,et al. Proceedings of the23rd International Conference on Machine learning . 2006
[4]  
A Two-step Approach to Hallucinating FacesGlobal Parametric Model and Local Nonparametric Model. Liu Ce,Shum H Y,Zhang Changshun. Proceedings of the2001IEEE Computer Society Conference on Computer Vision and attern Recognition . 2001
[5]  
Super-resolution Enhancement of Video. Christopher M. Proceedings of the9th International Conference on Artificial Intelligence and Statistics . 2003
[6]  
Example-based Superresolution. Freeman W T,Jones T R,Pasztor E C. IEEE Computer Graphics and Applications . 2002
[7]  
Image analogies. Hertzmann A,Jacobs C E,Oliver N,et al. Proceedings of Computer Graphics,Annual Conferences Series,ACMSIGGRAPH . 2001
[8]  
Limits on Super-resolution and How to Break Them. Baker S,,Kanade T. Computer Vision and Pattern Recognition . 2000
[9]  
Super-resolution Video Reconstruction with Arbitrary Sampling Lattices and Nonzero Aperture Time. Patti A,,Sezan M,Tekalp A. IEEE Transactions on Image Processing . 1997
[10]  
Hallucinating face by eigentransformation. Wang X,,Tang X. IEEE Trans.on Systems,Man and Cybernetics,Part C . 2005