Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/624
Title: Improved wavelet wiener estimator in image denoising
Authors: Dagher, Issam 
Taleb, Catherine
Affiliations: Department of Computer Engineering 
Keywords: Wiener filter
Image denoising
Wavelet transform
Issue Date: 2013
Publisher: IEEE
Part of: 2012 2nd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)
Start page: 311
End page: 314
Conference: International Conference on Advances in Computational Tools for Engineering Applications (ACTEA) (2nd : 12-15 Dec 2012 : Beirut, Lebanon) 
Abstract: 
Image denoising involves the manipulation of the image data to produce a visually high quality image. This paper improves the Wiener filter in the wavelet domain without the usual zero mean assumption. An improved LESE (local expected square error) formula is derived. For each wavelet block, the center coefficient is estimated by comparing the LESE given by the usual Wiener filter and the improved LESE. The minimum between them is chosen. The improved filter gave a higher PSNR for all the test images and all the noise variances that we have used.
URI: https://scholarhub.balamand.edu.lb/handle/uob/624
Ezproxy URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Computer Engineering

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