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...
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| 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 |
| Summary: | 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 |
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| ISSN: | 1814-5892 2078-6069 |