Performance Evaluation of SIHF and Contrast and Saturation Enhancement Based Denoising Techniques for Natural Images

Archana, Sheenam, Amit Chhabra

Abstract: Wall paintings are an esteemed symbol of culture. Their restoration and preservation is one of the needs of the hour so that future generations of the world could see and learn from our culture. Paintings can lose some points on the image to white spots which are very important to be recovered to maintain the overall good visibility of the image. Existing restoration algorithms like Nearest Neighbour Method mainly take care of the local deformities and white spots. However the problem of fading is not addressed properly by the method. There is a need of an algorithm which can along with removing white spots and local deformities improve the overall quality of the image from fading point of view. White spots along with fading are very important to be recovered because fade and dull images does not have a taste of the originality and meaning of the painting. We propose an algorithm based on nearest neighbour method to address both the above mentioned issues. Experimental results confirm the efficiency of the proposed algorithm. Keywords: Image Filtering, Denoising Technique, Image Restoration, Gaussian Noise, Salt and Pepper Noise, Speckle Noise.

Title:	Performance Evaluation of SIHF and Contrast and Saturation Enhancement Based Denoising Techniques for Natural Images
Author Name:	Archana, Sheenam, Amit Chhabra
Abstract:	Abstract: Wall paintings are an esteemed symbol of culture. Their restoration and preservation is one of the needs of the hour so that future generations of the world could see and learn from our culture. Paintings can lose some points on the image to white spots which are very important to be recovered to maintain the overall good visibility of the image. Existing restoration algorithms like Nearest Neighbour Method mainly take care of the local deformities and white spots. However the problem of fading is not addressed properly by the method. There is a need of an algorithm which can along with removing white spots and local deformities improve the overall quality of the image from fading point of view. White spots along with fading are very important to be recovered because fade and dull images does not have a taste of the originality and meaning of the painting. We propose an algorithm based on nearest neighbour method to address both the above mentioned issues. Experimental results confirm the efficiency of the proposed algorithm. Keywords: Image Filtering, Denoising Technique, Image Restoration, Gaussian Noise, Salt and Pepper Noise, Speckle Noise.
Cite this article:	Archana, Sheenam, Amit Chhabra , " Performance Evaluation of SIHF and Contrast and Saturation Enhancement Based Denoising Techniques for Natural Images " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 3, Issue 4, July - August 2014 , pp. 084-087 , ISSN 2278-6856.
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