Generalization of Impulse Noise
Removal
Hussain
Dawood1, Hassan Dawood2, and Ping Guo3
1Faculty of Computing and
Information Technology, University of Jeddah, Saudi Arabia
2Department of Software Engineering, University of Engineering and
Technology, Pakistan
3Image Processing and Pattern
Recognition Laboratory, Beijing Normal University, China
Abstract: In this paper, a generalization for the
identification and removal of an impulse noise is proposed. To remove the
salt-and-pepper noise an Improved Directional Weighted Median Filter (IDWMF) is
proposed. Number of optimal direction are proposed to increase from four to
eight directions to preserve the edges and to identify the noise, effectively.
Modified Switching Median Filter (MSMF) is proposed to replace the identified
noisy pixel. In which, two special cases are considered to replace the
identified noisy pixel. To remove the random-valued impulse noise, we have proposed
an efficient random-valued impulse noise identifier and removal algorithm named
as Local Noise Identifier and Multi-texton Removal (LNI-MTR). We have proposed
to use the local statistics of four neighbouring and the central pixel for the
identification of noisy pixel in current sliding window. The pixel identified
as noisy, is proposed to replace by using the information of multi-texton in
current sliding window. Experimental results show that the proposed methods
cannot only identify the impulse noise efficiently, but also can preserve the
detailed information of an image.
Keywords: Directional
weighted median filter, multi-texton, impulse noise, random-valued impulse
noise, salt-and-pepper noise, noise identification, modified switching median filter.
Received September 22, 2014; accepted April 23, 2015