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An Overview of Restoration Algorithms for Digital Images
American Journal of Software Engineering and Applications
Volume 5, Issue 3-1, May 2016, Pages: 30-33
Received: Sep. 14, 2016; Accepted: Sep. 23, 2016; Published: Aug. 21, 2017
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Authors
Arman Nejahi, Department of Computer Engineering, Khorasgan (Isfahan) Branch, Islamic Azad University, Isfahan, Iran
Aydin Parsa, Department of Computer Engineering, Tehran South Branch, Islamic Azad University, Tehran, Iran
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Abstract
Image restoration refers to the process of restoration of lost or corrupted data in the image. In recent years, numerous methods with different functions in the reconstruction of noisy images or text replacement, hiding waste in the context of transferring of corrupted image, object removal in the context of editing, or removing the image prohibition on the transfer of image-based perspectives are presented which are distinct from the photos taken by the cameras. This article attempts to investigate the most appropriate and satisfactory method among different algorithms of image restoration. Scattered frequencies are considered to remove restoration problem with the emergence of sporadic cases and intensive observations. Scattering-based techniques are more suitable for filling large context areas. The algorithm is based on the assumption that the image (or patch) on a specified basis, spread (i.e., discrete cosine transform (DCT) or shock waves) with the goal that the restored image to be physically acceptable and satisfactory in appearance.
Keywords
Image Restoration, Object Removal, Scattering-Based Restoration
To cite this article
Arman Nejahi, Aydin Parsa, An Overview of Restoration Algorithms for Digital Images, American Journal of Software Engineering and Applications. Special Issue: Advances in Computer Science and Information Technology in Developing Countries. Vol. 5, No. 3-1, 2016, pp. 30-33. doi: 10.11648/j.ajsea.s.2016050301.17
Copyright
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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