A Novel Image Detail Preserving Impulse Noise Removal Algorithm

被引：0

作者：

Jha, Abhinash Kumar ^{[1
]}

Agarwal, Punjal ^{[2
]}

Schaefer, Gerald ^{[3
]}

Zaz, Youssef ^{[4
]}

机构：

[1] HT Media Ltd, Hindustan Times, New Delhi, India

[2] LNM Inst Informat Technol, Jaipur, Rajasthan, India

[3] Loughborough Univ Technol, Dept Comp Sci, Loughborough, Leics, England

[4] Abdelmalek Essaadi Univ, Fac Sci, Tetouan, Morocco

来源：

PROCEEDINGS OF 2016 5TH INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS) | 2016年

关键词：

SWITCHING MEDIAN FILTER;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we introduce a novel edge directed image detail preserving impulse noise removal algorithm. Our approach is based on local image directionality features. Local edge features are analysed on both a downsampled version of the image and the noisy image, and both soft an sharp edges are considered for selective noise removal. Experimental results on a set of standard images show our technique to be effective in removing salt-and-pepper noise even at high noise levels, to yield good image quality and to outperform a number of other noise removal techniques.

引用

页码：137 / 140

页数：4

共 15 条

[1] ENHANCED SWITCHING MEDIAN FILTER FOR DENOISING IN 2D PATTERNED TEXTILE IMAGES [J].