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Two Stage Wavelet based Image Denoising

Publication Type : Journal Article

Thematic Areas : Center for Computational Engineering and Networking (CEN)

Publisher : International Journal of Computer Applications

Source : International Journal of Computer Applications, Volume 56, Issue 14 (2012)

Url :

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Center for Computational Engineering and Networking (CEN), Electronics and Communication

Verified : Yes

Year : 2012

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.

Cite this Research Publication : G. Abraham, Dr. Soman K. P., Prasannan, N., S, S., and Dr. Neethu Mohan, “Two Stage Wavelet based Image Denoising”, International Journal of Computer Applications, vol. 56, no. 14, 2012.

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