文章基本信息

标题：Design of Efficient Adaptive Image Filters to suppress Salt and Pepper Noise
本地全文：下载
作者：Medhavi Aggarwal ; Ranjit Kaur ; Beant Kaur 等
期刊名称：Journal of Emerging Trends in Computing and Information Sciences
电子版ISSN：2079-8407
出版年度：2014
卷号：5
期号：9
页码：676-681
出版社：ARPN Publishers
摘要：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.
关键词：Image processing; salt and pepper noise; adaptive filters; LMS adaptive filter; local noise adaptive filter.