Image Denoising Using Fourth Order Wiener Filter with Wavelet Quadtree Decomposition
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...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2014/108393 |
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| _version_ | 1832558892346769408 |
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| author | Issam Dagher Catherine Taleb |
| author_facet | Issam Dagher Catherine Taleb |
| author_sort | Issam Dagher |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-c3d2f16208fe48f9aa4e86c10c12e200 |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-c3d2f16208fe48f9aa4e86c10c12e2002025-02-03T01:31:20ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552014-01-01201410.1155/2014/108393108393Image Denoising Using Fourth Order Wiener Filter with Wavelet Quadtree DecompositionIssam Dagher0Catherine Taleb1Department of Electrical and Computer Engineering, University of Balamand, 100 Koura, LebanonDepartment of Electrical and Computer Engineering, University of Balamand, 100 Koura, LebanonVisual 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.http://dx.doi.org/10.1155/2014/108393 |
| spellingShingle | Issam Dagher Catherine Taleb Image Denoising Using Fourth Order Wiener Filter with Wavelet Quadtree Decomposition Journal of Electrical and Computer Engineering |
| title | Image Denoising Using Fourth Order Wiener Filter with Wavelet Quadtree Decomposition |
| title_full | Image Denoising Using Fourth Order Wiener Filter with Wavelet Quadtree Decomposition |
| title_fullStr | Image Denoising Using Fourth Order Wiener Filter with Wavelet Quadtree Decomposition |
| title_full_unstemmed | Image Denoising Using Fourth Order Wiener Filter with Wavelet Quadtree Decomposition |
| title_short | Image Denoising Using Fourth Order Wiener Filter with Wavelet Quadtree Decomposition |
| title_sort | image denoising using fourth order wiener filter with wavelet quadtree decomposition |
| url | http://dx.doi.org/10.1155/2014/108393 |
| work_keys_str_mv | AT issamdagher imagedenoisingusingfourthorderwienerfilterwithwaveletquadtreedecomposition AT catherinetaleb imagedenoisingusingfourthorderwienerfilterwithwaveletquadtreedecomposition |