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Performance Analysis of Image Denoising Technique using Neural Network

International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 122 - Number 13
Year of Publication: 2015
Shrish Pathak
Mukesh Kumar
A. K. Jaiswal
Rohini Saxena

Shrish Pathak, Mukesh Kumar, A.k.jaiswal and Rohini Saxena. Article: Performance Analysis of Image Denoising Technique using Neural Network. International Journal of Computer Applications 122(13):36-39, July 2015. Full text available. BibTeX

	author = {Shrish Pathak and Mukesh Kumar and A.k.jaiswal and Rohini Saxena},
	title = {Article: Performance Analysis of Image Denoising Technique using Neural Network},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {122},
	number = {13},
	pages = {36-39},
	month = {July},
	note = {Full text available}


Image processing is widely applied in various area of applications such as Medical, military, agriculture, etc. . The problem which generally occurs in image processing is the removal of noise generated due to various sources. In this paper a new approach based on neural network technique is proposed for the removal of noise. This technique follows three levels. This technique combines the advantages of filtering, neural network and bayes shrinkage technique. The noisy image is first passed through a bilateral filter and neural network is applied to the filtered image and the output of NN is then applied to bayes shrink. The proposed method outperforms other methods both visually and in case of objective quality peak-signal-to-noise ratio (PSNR) and MSE. Proposed method is verified for additive white Gaussian noise.


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