Interpolation-based impulse noise removal

被引：27

作者：

Kalyoncu, Cem ^{[1
]}

Toygar, Onsen ^{[1
]}

Demirel, Hasan ^{[2
]}

机构：

[1] Eastern Mediterranean Univ, Comp Engn Dept, Northern Cyprus 10, Mersin, Turkey

[2] Eastern Mediterranean Univ, Elect & Elect Engn Dept, Northern Cyprus 10, Mersin, Turkey

来源：

IET IMAGE PROCESSING | 2013年 / 7卷 / 08期

关键词：

image denoising; impulse noise; interpolation; photography; interpolation-based impulse noise removal algorithm; IBINR; nonlinear interpolation; photographic image denoising power term; resource efficiency; memory requirement; HIGHLY CORRUPTED IMAGES; SWITCHING MEDIAN FILTER;

D O I：

10.1049/iet-ipr.2013.0146

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Interpolation-Based Impulse Noise Removal (IBINR), a fast and simple algorithm is proposed to remove fixed valued impulse noise in this study. The proposed method removes all noisy pixels from the image and determines their values using non-linear interpolation. Compared with the state-of-the-art noise removal algorithms, IBINR has the highest or comparable performance in terms of photographic image denoising power and resource efficiency: it runs in shorter amount of time and does not have any significant additional memory requirements due to the fact that costly sorting operations are avoided.

引用

页码：777 / 785

页数：9

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