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Volume & Issue no: Volume 6, Issue 5, September - October 2017

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Title:
Pixel Analysis Technique for Image Denoising
Author Name:
Er.Sonvir kaur bath, Er.harjeet Singh, Dr.Gurpreet singh
Abstract:
Abstract The image de-noising is the technique which is applied to denoise the image. The noise is the extra pixels which are added on the image to reduce image quality. In the previous times, various techniques have been proposed which remove noisy pixels from the image. In the base paper, technique of sparse matrix technique proposed which divide the whole image into small matrixes and similarity of each matrix is calculated. The matrix which is maximum dissimilarity is removed from the image. This leads to remove noisy pixels from the image and increase image quality in terms of various parameters. In this work, technique of probability is proposed which calculate probability of each pixel and pixels which has maximum probability to be noisy is remove the image. The proposed technique is implemented in MATLAB and compare with existing technique of sparse matrix. It is been analyzed that proposed technique performs well in terms of various matrix.
Cite this article:
Er.Sonvir kaur bath, Er.harjeet Singh, Dr.Gurpreet singh , " Pixel Analysis Technique for Image Denoising" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 6, Issue 5, September - October 2017 , pp. 048-051 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
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