Research Article
Article:Impulse Noise Removal in Digital Images
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 10 - Issue 8 |
| Published: November 2010 |
| Authors: J.Harikiran, B.Saichandana, B.Divakar |
10.5120/1498-2015
|
J.Harikiran, B.Saichandana, B.Divakar . Article:Impulse Noise Removal in Digital Images. International Journal of Computer Applications. 10, 8 (November 2010), 39-42. DOI=10.5120/1498-2015
@article{ 10.5120/1498-2015,
author = { J.Harikiran,B.Saichandana,B.Divakar },
title = { Article:Impulse Noise Removal in Digital Images },
journal = { International Journal of Computer Applications },
year = { 2010 },
volume = { 10 },
number = { 8 },
pages = { 39-42 },
doi = { 10.5120/1498-2015 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2010
%A J.Harikiran
%A B.Saichandana
%A B.Divakar
%T Article:Impulse Noise Removal in Digital Images%T
%J International Journal of Computer Applications
%V 10
%N 8
%P 39-42
%R 10.5120/1498-2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper introduces the concept of image fusion of filtered noisy images for impulse noise reduction. Image fusion is the process of combining two or more images into a single image while retaining the important features of each image. Multiple image fusion is an important technique used in military, remote sensing and medical applications. Five different filtering algorithms are used individually for filtering the image captured from the sensor. The filtered images are fused to obtain a high quality image compared to individually denoised images. In-order to better appraise the noise cancellation behavior of our fusion technique from the point of view of human perception, an edge detection is performed using canny filter for the fused image. Experimental results show that this method is capable of producing better results compared to individually denoised images.
References
- R. H. Laskar, B. Bhowmick, R. Biswas and S. Kar ,” Removal of impulse noise from color image” , 2009 IEEE.
- James C. Church, Yixin Chen, and Stephen V. Rice , “A Spatial Median Filter for Noise Removal in Digital Images“, 2008 IEEE.
- Ehsan Nadernejad, ”Edge Detection Techniques: Evaluations and Comparisions” Applied Mathematical Sciences, Vol. 2, 2008, no. 31, 1507 – 1520.
- S.Indu , Chaveli Ramesh, “ A noise fading technique for images highly corrupted with impulse noise”, Proceedings of the ICCTA07 , IEEE.
- Damianos G. Karakos and Panos E. Trahanias, “Generalized Multichannel Image-Filtering Structures “,IEEE Transactions on image processing” , Vol. 6, No. 7, July 1997.
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