International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 56 - Issue 14 |
Published: October 2012 |
Authors: Glincy Abraham, Neethu Mohan, Sreekala S, Neethu Prasannan, K P Soman |
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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
@article{ 10.5120/8961-3167, author = { Glincy Abraham,Neethu Mohan,Sreekala S,Neethu Prasannan,K P Soman }, title = { Two Stage Wavelet based Image Denoising }, journal = { International Journal of Computer Applications }, year = { 2012 }, volume = { 56 }, number = { 14 }, pages = { 30-37 }, doi = { 10.5120/8961-3167 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A Glincy Abraham %A Neethu Mohan %A Sreekala S %A Neethu Prasannan %A K P Soman %T Two Stage Wavelet based Image Denoising%T %J International Journal of Computer Applications %V 56 %N 14 %P 30-37 %R 10.5120/8961-3167 %I Foundation of Computer Science (FCS), NY, USA
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.