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https://dspace.univ-ouargla.dz/jspui/handle/123456789/2919
Title: | Improved Wavelet Shrinkage Technique for Image Denoising |
Authors: | KHELALEF Aziz , HIMEUR Yassine,GUERMOUI Mouloud |
Keywords: | wavelet thresholding Cycle Spinning Wavelet Transform shrinkage image denoising |
Issue Date: | 19-Dec-2013 |
Abstract: | In this paper, we propose a new wavelet-based image denoising algorithm that is based on a state-of-the-art algorithm, namely FAS (Feature Adaptive shrinkage). Two modifications are introduced in order to increase its efficiency. This consists of developing a new shrinkage function which is adapted to each level of decomposition. Also, we combined the new scheme with the cycle spinning algorithm in order to resolve the pseudo Gibbs phenomena problem. A number of experiments, carried out on various test images, demonstrate significant improvement over the conventional FAS and against other wavelet denoising methods. |
Description: | The INTERNATIONAL CONFERENCE ON ELECTRONICS & OIL: FROM THEORY TO APPLICATIONS March 05-06, 2013, Ouargla, Algeria |
URI: | http://hdl.handle.net/123456789/2919 |
ISSN: | waf |
Appears in Collections: | 2. Faculté des nouvelles technologies de l’information et de la communication |
Files in This Item:
File | Description | Size | Format | |
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KHELALEF_Aziz.pdf | 1,06 MB | Adobe PDF | View/Open |
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