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Image Reconstruction using Wavelet Transform with Recurrent Neural Network | ||
| Al-Rafidain University College For Sciences | ||
| Article 1, Volume 0, Issue 19, 2017, Pages 57-69 | ||
| Author | ||
| Waleed Ameen M.Algaohar | ||
| Abstract | ||
| Wavelet Transform in 1992 recently as a combination with elman recurrent neural network. These are found very useful for time scale representation and widely used in signal processing and computer vision. In this research proposed an algorithm to reconstruct image that had lost some of its parts or uncompleted and some of wavelet transform properties in analysis to represent things. The algorithm depend on 8-level of wavelet decomposition with feature extraction and elman recurrent neural network for uncompleted image in small and big losing blocks. The reconstruction done in 100% accurate with the existing of original image even if the losing is 75% from the original image. | ||
| Keywords | ||
| Image Reconstruction | ||
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