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Two Stage Wavelet based Image Denoising
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 56 - Number 14 |
| Year of Publication: 2012 |
| Authors: Glincy Abraham, Neethu Mohan, Sreekala S, Neethu Prasannan, K P Soman |
10.5120/8961-3167
|
Glincy Abraham, Neethu Mohan, Sreekala S, Neethu Prasannan, K P Soman . Two Stage Wavelet based Image Denoising. International Journal of Computer Applications. 56, 14 ( October 2012), 30-37. DOI=10.5120/8961-3167
Abstract
In this paper we are proposing a 2-stage wavelet based denoising technique. First stage of denoising is performed on the approximation coefficient obtained from the level 1 wavelet decomposition [1] of the noisy image and second stage of denoising is applied on the reconstructed image. The second stage denoising has shown a better result on to the reconstructed image. The detail coefficients are newly estimated from the first level denoised approximation coefficients. For denoising, techniques like Total Variation [3], Split Bregman [4] and NL means [5] are used. The quality of results obtained from different denoising techniques has been measured using various objective matrices such as PSNR, MSE on standard test images.
References
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