A new method for parameter estimation of edge-preserving regularization in image restoration | |
Gu, Xiaojuan ; Gao, Li | |
2009 | |
关键词 | Gaussian noise Image restoration Edge-preserving regularization Parameter estimation Constrained optimization problem VARIATIONAL APPROACH NOISE MINIMIZATION ALGORITHMS SELECTION |
英文摘要 | In image restoration, the so-called edge-preserving regularization method is used to solve an optimization problem whose objective function has a data fidelity term and a regularization term, the two terms are balanced by a parameter lambda. In some aspect, the value of lambda determines the quality of images. In this paper, we establish a new model to estimate the parameter and propose an algorithm to solve the problem. In order to improve the quality of images, in our algorithm, an image is divided into some blocks. On each block, a corresponding value of lambda has to be determined. Numerical experiments are reported which show efficiency of our method. (c) 2008 Elsevier B.V. All rights reserved.; Mathematics, Applied; SCI(E); EI; 6; ARTICLE; 2; 478-486; 225 |
语种 | 英语 |
出处 | EI ; SCI |
出版者 | 计算与应用数学杂志 |
内容类型 | 其他 |
源URL | [http://hdl.handle.net/20.500.11897/157730] ![]() |
专题 | 数学科学学院 |
推荐引用方式 GB/T 7714 | Gu, Xiaojuan,Gao, Li. A new method for parameter estimation of edge-preserving regularization in image restoration. 2009-01-01. |
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