Restoration of Noisy Blurred Images Using MFPIA and Discrete Wavelet Transform | ||
| Iraqi Journal for Electrical And Electronic Engineering | ||
| Article 1, Volume 9, Issue 1, June 2013, Pages 1-15 PDF (0 K) | ||
| DOI: 10.33762/eeej.2013.81784 | ||
| Author | ||
| Dunia S. Tahir | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| Image deblurring; Image denoising; Image Processing; Discrete Wavelet Transform | ||
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