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Parallel Algorithm Of Mathematical Model For Fuzzy Neural Network Used In Image Deblurring | ||
| Baghdad College of Economic sciences University | ||
| Article 1, Volume 0, Issue 45, 2018, Pages 449-465 | ||
| Authors | ||
| Mohammed A. Subhi; Maytham A. Ali; Associate Pro. Dr. Sadiq A. Mehdi | ||
| Abstract | ||
| A mathematical model for parallel algorithm was proposed for the image deblurring using Fuzzy neural network recognition system. The proposed mathematical model was used to suggest a new parallel adaptive neural learning method used to increase the recognition accuracy and decrease time. To solve image blurring problem, a new de-blurring strategy was proposed in order to reduce or to remove the blur in the images. The proposed strategy was suggested to use the Least Square interpolation controlled by the proposed parallel learning fuzzy-neural network to select the blurred pixels. The proposed strategy gives good results for fully and partially blurred region in images. | ||
| Keywords | ||
| Mathematical Models Application; parallel algorithm; Fuzzy neural network; Image deblurring | ||
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