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Performance Analysis of InterpolatedShrink method in Image De-Noising

International Journal of Computer Applications
© 2011 by IJCA Journal
Number 8 - Article 1
Year of Publication: 2011
J S Bhat
B N Jagadale

J S Bhat and B N Jagadale. Article: Performance Analysis of InterpolatedShrink method in Image De-Noising. International Journal of Computer Applications 15(8):1–6, February 2011. Full text available. BibTeX

	author = {J S Bhat and B N Jagadale},
	title = {Article: Performance Analysis of InterpolatedShrink method in Image De-Noising},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {15},
	number = {8},
	pages = {1--6},
	month = {February},
	note = {Full text available}


The de-noising of an image corrupted by Gaussian noise is a classical problem in signal or image processing. An image is often corrupted by noise during its acquisition and transmission. Image de-noising is used to reduce the noise while retaining the important features in the image. Always there exists a tradeoff between the removed noise and the blurring in the image. The use of wavelet transform for signal de-noising has emerged as an important technique during the last decade. The wavelet transform is preferred over conventional Fast Fourier Transform(FFT) based image de-noising technique ,because of its capability to give detailed spatial-frequency information. In this paper, we tried to analyze the performance of InterpolatedShrink method in image de-noising using various wavelet family, such as Haar,Doubechies,Symlet and Coiflets, for Gaussian noise.


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