UPM Institutional Repository

Review of image denoising algorithms based on the wavelet transformation


Khmag, Asem and Ramli, Abdul Rahman and Hashim, Shaiful Jahari and Syed Mohamed, Syed Abdul Rahman Al-Haddad (2013) Review of image denoising algorithms based on the wavelet transformation. International Journal of Advanced Trends in Computer Science and Engineering, 2 (5). pp. 1-8. ISSN 2278-3091


The search for efficient image denoising methods is still a valid challenge at the crossing of functional analysis and statistics. In spite of the sophistication of the recently methods, most algorithms have not yet attained a desirable level of applicability. All the algorithms show a high outstanding Performance when the image model corresponds to the algorithm assumptions but it fails in general and create artifacts or change the main structures of the original image. Denoising of natural images corrupted by white Gaussian noise using wavelet techniques is very effective because of its ability to capture the energy of the signal in few energy transform values or coefficients. This method performs well under a number of applications because wavelet transform has the compaction property of having only a small number of large coefficients where the remaining wavelet coefficients are very small. The aim of this review paper is to examine all existing studies in the literature related to applying wavelet transformation for denoising images. However, to review various denoising algorithms using wavelet transform; those algorithms are discussed and showed how the appearance and quality of the noisy image can be improved. Algorithms such as SUREShrink, VisuShrink, BayesShrink, Bivariate shrink, Neigh Shrink and Normal shrink are presented in this paper. In the part of the experimental results, different Gaussian white noise levels in PSNR are shown.

Download File

PDF (Abstract)

Download (35kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: The World Academy of Research in Science and Engineering
Notes: Special issue of ICACET 2013 - held during 14-15 Oct. 2013, Kuala Lumpur, Malaysia
Keywords: Denoising; Discrete wavelet transforms (DWT); Hard and soft thresholding; Peak signal to noise ratio (PSNR)
Depositing User: Muizzudin Kaspol
Date Deposited: 23 May 2014 04:40
Last Modified: 30 Oct 2017 07:50
URI: http://psasir.upm.edu.my/id/eprint/28647
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item