Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/886
Title: Variable block wavelet wiener estimator in image denoising
Authors: Dagher, Issam 
Taleb, Catherine
Affiliations: Department of Computer Engineering 
Keywords: Wiener filter
Image denoising
Mean square error methods
Wavelet transform
Issue Date: 2014
Publisher: IEEE
Part of: Electrotechnical Conference (MELECON), 2014 17th IEEE Mediterranean
Start page: 479
End page: 483
Conference: MELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference (13-16 April 2014 : Beirut, Lebanon) 
Abstract: 
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 block size, the LESE and LESEimproved are computed. The block size that gave the minimum LESE is chosen. For that block if LESE is less than LESEimproved then the zero-mean filter is used else the non-zero mean filter is used. 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/886
Ezproxy URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Computer Engineering

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