Restoration of Noisy Blurred Images Using MFPIA and Discrete Wavelet Transform
In this paper, image deblurring and denoising are presented. The used images were blurred either with Gaussian or motion blur and corrupted either by Gaussian noise or by salt & pepper noise. In our algorithm, the modified fixed-phase iterative algorithm (MFPIA) is used to reduce the blur. Th...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
College of Engineering, University of Basrah
2013-06-01
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| Series: | Iraqi Journal for Electrical and Electronic Engineering |
| Subjects: | |
| Online Access: | http://ijeee.org/volums/volume9/IJEEE9PDF/paper91.pdf |
| _version_ | 1811326403069607936 |
|---|---|
| author | Dunia S. Tahir |
| author_facet | Dunia S. Tahir |
| author_sort | Dunia S. Tahir |
| collection | DOAJ |
| description | In this paper, image deblurring and denoising are presented. The used images were
blurred either with Gaussian or motion blur and corrupted either by Gaussian noise or
by salt & pepper noise. In our algorithm, the modified fixed-phase iterative algorithm
(MFPIA) is used to reduce the blur. Then a discrete wavelet transform is used to divide the
image into two parts. The first part represents the approximation coefficients. While the
second part represents the detail coefficients, that a noise is removed by using the
BayesShrink wavelet thresholding method |
| first_indexed | 2024-04-13T14:49:53Z |
| format | Article |
| id | doaj.art-6de52966f8a243f6b4a9364e85425936 |
| institution | Directory Open Access Journal |
| issn | 1814-5892 2078-6069 |
| language | English |
| last_indexed | 2024-04-13T14:49:53Z |
| publishDate | 2013-06-01 |
| publisher | College of Engineering, University of Basrah |
| record_format | Article |
| series | Iraqi Journal for Electrical and Electronic Engineering |
| spelling | doaj.art-6de52966f8a243f6b4a9364e854259362022-12-22T02:42:39ZengCollege of Engineering, University of BasrahIraqi Journal for Electrical and Electronic Engineering1814-58922078-60692013-06-0191115Restoration of Noisy Blurred Images Using MFPIA and Discrete Wavelet TransformDunia S. Tahir0Basrah University, Engineering College, Computer DepartmentIn this paper, image deblurring and denoising are presented. The used images were blurred either with Gaussian or motion blur and corrupted either by Gaussian noise or by salt & pepper noise. In our algorithm, the modified fixed-phase iterative algorithm (MFPIA) is used to reduce the blur. Then a discrete wavelet transform is used to divide the image into two parts. The first part represents the approximation coefficients. While the second part represents the detail coefficients, that a noise is removed by using the BayesShrink wavelet thresholding methodhttp://ijeee.org/volums/volume9/IJEEE9PDF/paper91.pdfImage deblurringImage denoisingImage ProcessingDiscrete wavelet transform |
| spellingShingle | Dunia S. Tahir Restoration of Noisy Blurred Images Using MFPIA and Discrete Wavelet Transform Iraqi Journal for Electrical and Electronic Engineering Image deblurring Image denoising Image Processing Discrete wavelet transform |
| title | Restoration of Noisy Blurred Images Using MFPIA and Discrete Wavelet Transform |
| title_full | Restoration of Noisy Blurred Images Using MFPIA and Discrete Wavelet Transform |
| title_fullStr | Restoration of Noisy Blurred Images Using MFPIA and Discrete Wavelet Transform |
| title_full_unstemmed | Restoration of Noisy Blurred Images Using MFPIA and Discrete Wavelet Transform |
| title_short | Restoration of Noisy Blurred Images Using MFPIA and Discrete Wavelet Transform |
| title_sort | restoration of noisy blurred images using mfpia and discrete wavelet transform |
| topic | Image deblurring Image denoising Image Processing Discrete wavelet transform |
| url | http://ijeee.org/volums/volume9/IJEEE9PDF/paper91.pdf |
| work_keys_str_mv | AT duniastahir restorationofnoisyblurredimagesusingmfpiaanddiscretewavelettransform |