Weighted thin-plate spline image denoising

被引：8

作者：

Kaspar, R ^{[1
]}

Zitová, B ^{[1
]}

机构：

[1] Acad Sci Czech Republ, Inst Informat Theory & Automat, CR-18208 Prague 8, Czech Republic

来源：

PATTERN RECOGNITION | 2003年 / 36卷 / 12期

关键词：

image denoising; thin-plate splines;

D O I：

10.1016/S0031-3203(03)00133-X

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This note aims to present new denoising method based on thin-plate splines (TPS). The proposed approach is based on the general TPS denoising Berman [2], however, its unfavorable smoothing of edges and details is suppressed by introduction of a weighting approach applied locally. The performance of the method is shown and compared to the original TPS denoising. (C) 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

引用

页码：3027 / 3030

页数：4