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Restoration of Digital Images Using an Iterative Filter Algorithm | ||
| Iraqi Journal of Science | ||
| Article 1, Volume 58, Issue 1, 2018, Pages 377-387 | ||
| Authors | ||
| Hala. K. Alkzai; Ayad A. Alani | ||
| Abstract | ||
| Digital image started to including in various fields like, physics science, computer science, engineering science, chemistry science, biology science and medication science, to get from it some important information. But any images acquired by optical or electronic means is likely to be degraded by the sensing environment. In this paper, we will study and derive Iterative Tikhonov-Miller filter and Wiener filter by using criterion function. Then use the filters to restore the degraded image and show the Iterative Tikhonov-Miller filter has better performance when increasing the number of iteration To a certain limit then, the performs will be decrease. The performance of Iterative Tikhonov-Miller filter has better performance for less degradation parameters, with high SNR and Wiener filter has better performance for more degradation parameters, with low SNR. | ||
| Keywords | ||
| Gaussian blurring function; Gaussian noise function; Degraded image; Criterion function; Itrative Tikhonove; Stander deviation | ||
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