Efficient Non-linear Filter for Impulse Noise Removal in Document Images

被引:0
作者
Awad, Ali [1 ]
机构
[1] AL Azhar Univ Gaza, Fac Engn & Informat Technol, Gaza, Israel
来源
NEURAL INFORMATION PROCESSING, ICONIP 2012, PT III | 2012年 / 7665卷
关键词
Image denoising; Impulse noise; Non-linear filter; MATHEMATICAL MORPHOLOGY; BINARY IMAGES; RESTORATION; SELECTION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A novel method is proposed in this paper to restore document images. The proposed method is based on finding the degree of similarity between the tested pixel and its neighbors in different door's sizes. If the tested pixel in every door size has enough similarity with at least two pixels, then the tested pixel is deemed original pixel. The number of two pixels is chosen, to make sure that the tested pixel is a part of an original text or a part in a series of similar pixels. Simulation results indicate that the new method delivers superior performance rapidly and efficiently either in terms of the noise removal or details preservation.
引用
收藏
页码:9 / 16
页数:8
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