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Journal of Electrical and Computer Engineering
Volume 2014 (2014), Article ID 108393, 9 pages
Research Article

Image Denoising Using Fourth Order Wiener Filter with Wavelet Quadtree Decomposition

Department of Electrical and Computer Engineering, University of Balamand, 100 Koura, Lebanon

Received 12 November 2013; Revised 20 January 2014; Accepted 20 January 2014; Published 2 March 2014

Academic Editor: Sos Agaian

Copyright © 2014 Issam Dagher and Catherine Taleb. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Visual information transmitted in the form of digital images is becoming a major method of communication in the modern age, but the image obtained after transmission is often corrupted with noise. The received image needs processing before it can be used in applications. Image denoising involves the manipulation of the image data to produce a visually high quality image. This paper uses the fourth order nonlinear wiener filter with wavelet quadtree decomposition and median absolute deviation. It will be shown that this new algorithm is comparable to other algorithms like BM3D, LPG-PCA, and KSVD.