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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Design of Efficient Adaptive Image Filters to suppress Salt and Pepper Noise

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Author Medhavi Aggarwal , Ranjit Kaur, Beant Kaur
ISSN 2079-8407
On Pages 676-681
Volume No. 5
Issue No. 9
Issue Date October 1, 2014
Publishing Date October 1, 2014
Keywords Image processing, salt and pepper noise, adaptive filters, LMS adaptive filter, local noise adaptive filter.


Abstract

Image processing technology is amongst the most rapidly growing technologies today, having its applications in various aspects of business. The massive production of digital images in the communication world has led to the need for efficient image restoration methods. Unlike conventional linear digital filters, adaptive digital filters are used to overcome the problem of removing noise in certain practical applications where the statistical characteristics of input and noise are normally unknown or can’t be found out by fixed coefficient digital filters. The aim of this paper is to explain the concept of noise which leads to the need for developing filters and to design efficient adaptive local noise filter and adaptive LMS filter in their operation of demising low density salt and pepper noise.
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