Image Restoration Using CPN and SOM

International Journal of Computer Trends and Technology (IJCTT)          
© - Issue 2011 by IJCTT Journal
Volume-2 Issue-2                           
Year of Publication : 2011
Authors :Ms. Karthika.D , Dr. Marimuthu.A


Ms. Karthika.D , Dr. Marimuthu.A "Image Restoration Using CPN and SOM"International Journal of Computer Trends and Technology (IJCTT),V2(2):586-589 Issue 2011 .ISSN Published by Seventh Sense Research Group.

Abstract: - This work mainly deals with the restoration of an image degraded by the Impulsive noise, Speckle noise and Gaussian noise. Two types of networks are used to restore the image they are Counter Propagation Networks (CPN) and Self-Organizing Maps (SOM). The parameters in the weight controller are adjustable using learning algorithm. The weights are then substituted to the Center Weighted Median filter for restoration. In SOM Wiener Filter is used to smooth the image degraded by any of the noise mentioned above. The smoothened image is passed to SOM for restoration. Additionally the SOM was applied to the Texture images to restore the poor quality of the image. Experimental results are shown in this paper


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Keywords— CWM filter, CPN, SOM, Impulsive noise, Noise reduction and Texture image.