Image Deblurring and Effect of Wiener, Regularized, Lucky-Richardson, Blind-Deconvolution, Average and Median Filters on Blurred Image and Noisy Image | ||
| Tikrit Journal of Engineering Sciences | ||
| Article 1, Volume 21, Issue 1, December 2014, Pages 84-95 PDF (0 K) | ||
| Authors | ||
| Shayma Wail Nourildean; Mohammed Ismaeel Khalil | ||
| Abstract | ||
| In image deblurring, we try to recover the original, sharp image by using a mathematical model of the blurring process. There are several techniques to recover the original image, but they could not recover the image exactly. In this paper, four algorithms (Weiner filter, regularized filter, lucky- Richardson and blind deconvolution), average and median filters were applied on the blurred image to recover the original image. Then noise was added to the original image and the same six algorithms were applied to noisy image. This study was done using MATLAB program, the result shows that the four algorithms (Weiner filter, regularized filter, lucky- Richardson and blind deconvolution) were used for deblurring image with information about distortion operator but median and average filters were failed in deblurring image while they were successful in restoring the noisy image. Wiener and regularized filters were failed to restore the original image from noisy image. | ||
| Keywords | ||
| image; Blurred; Noisy; Average; median | ||
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