An Edge-Preserving Multilevel Method for Deblurring, Denoising, and Segmentation

被引：0
|
作者：
Morigi, Serena [1 ]
Reichel, Lothar [2 ]
Sgallari, Fiorella [1 ]
机构：
[1] Univ Bologna, Dept Math, CIRAM, Bologna, Italy
[2] Kent State Univ, Dept Math Sci, Kent 44242, OH USA
来源：
SCALE SPACE AND VARIATIONAL METHODS IN COMPUTER VISION, PROCEEDINGS | 2009年 / 5567卷
关键词：
ALGORITHM;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We present a fast edge-preserving cascadic multilevel image restoration method for reducing blur and noise in contaminated images. The method also can be applied to segmentation. Our multilevel method blends linear algebra and partial differential equation techniques. Regularization is achieved by truncated iteration on each level. Prolongation is carried out by nonlinear edge-preserving and noise-reducing operators. A thresholding updating technique is shown to reduce "ringing" artifacts. Our algorithm combines deblurring, denoising, and segmentation within a single framework.
引用
收藏
页码：426 / +
页数：3
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