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|Title:||Improved wavelet wiener estimator in image denoising||Authors:||Dagher, Issam
|Affiliations:||Department of Computer Engineering||Keywords:||Wiener filter
|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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