Local adaptive transform based image de-noising with varying window size

被引：0
|
作者：
Öktem, H [1 ]
Katkovnik, V [1 ]
Egiazarian, K [1 ]
Astola, A [1 ]
机构：
[1] Tampere Univ Technol, Signal Proc Lab, FIN-33101 Tampere, Finland
来源：
2001 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL I, PROCEEDINGS | 2001年
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Local adaptive image de-noising in transform domain is a powerfull tool for adapting to unknown smoothness of the images. In this work we propose to perform local adaptive denoising with adaptively varying local transform support size rather than using a transform with fixed size. We use a special rule antersection of Confidence Intervals - ICI) to select the optimum window sizes locally. The algorithm provides significant improvements in the de-noising performance.
引用
收藏
页码：273 / 276
页数：4
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