DSpace

King Saud University Repository >
King Saud University >
COLLEGES >
Science Colleges >
College of Computer and Information Sciences >
College of Computer and Information Sciences >

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15058

Title: A hybrid image restoration approach: fuzzy logic and directional weighted median based uniform impulse noise removal
Authors: Ayyaz Hussain
M. Arfan Jaffar
Anwar M. Mirza
Keywords: Fuzzy logic - Fuzzy filter - Impulse noise - Image restoration - Weighted median
Issue Date: 2010
Publisher: Springer
Abstract: In this paper, a hybrid image restoration technique based on fuzzy logic and directional weighted median is presented. The proposed technique consists of noise detection and fuzzy filtering processes to detect and remove uniform (random-valued) impulse noise while preserving the image details efficiently. In order to preserve image details such as edges and texture information, a two-stage robust noise detection is presented in this paper. Pixels detected as noisy by both the noise detection stages are considered for noise removal by the fuzzy filtering process, which utilizes the direction based weighted median to construct fuzzy membership function, which is the main contributing factor in noise removal and detail preservation. Extensive experimentation shows that the proposed technique performs significantly better than state-of-the-art filters based on peak signal-to-noise ratio, structural similarity index measure and subjective evaluation criteria.
URI: http://hdl.handle.net/123456789/15058
Appears in Collections:College of Computer and Information Sciences

Files in This Item:

File Description SizeFormat
journal4.docx12.3 kBMicrosoft Word XMLView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

DSpace Software Copyright © 2002-2007 MIT and Hewlett-Packard - Feedback