Superresolution reconstruction using nonlinear gradient-based regularization

CASIA OpenIR > 09年以前成果

	Superresolution reconstruction using nonlinear gradient-based regularization
	Zhang X(张鑫); Edmund Lam
发表期刊	Multidim Syst Sign Process
	2009
期号	20 页码:375
摘要	This paper discusses the problem of superresolution reconstruction. To preserve edges accurately and efficiently in the reconstruction, we propose a nonlinear gradient-based regularization that uses the gradient vector field of a preliminary high resolution image to configure a regularization matrix and compute the regularization parameters. Compared with other existing methods, it not only enhances the spatial resolution of the resulting images, but can also preserve edges and smooth noise to a greater extent. The advantages are shown in simulations and experiments with synthetic and real images.
关键词	Superresolution Reconstruction
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12002
专题	09年以前成果
通讯作者	Edmund Lam
推荐引用方式 GB/T 7714	Zhang X,Edmund Lam. Superresolution reconstruction using nonlinear gradient-based regularization[J]. Multidim Syst Sign Process,2009(20):375.
APA	Zhang X,&Edmund Lam.(2009).Superresolution reconstruction using nonlinear gradient-based regularization.Multidim Syst Sign Process(20),375.
MLA	Zhang X,et al."Superresolution reconstruction using nonlinear gradient-based regularization".Multidim Syst Sign Process .20(2009):375.