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.
| Published in |
American Journal of Software Engineering and Applications (Volume 5, Issue 3-1)
This article belongs to the Special Issue Advances in Computer Science and Information Technology in Developing Countries |
| DOI | 10.11648/j.ajsea.s.2016050301.17 |
| Page(s) | 30-33 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
Image Restoration, Object Removal, Scattering-Based Restoration
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APA Style
Arman Nejahi, Aydin Parsa. (2017). An Overview of Restoration Algorithms for Digital Images. American Journal of Software Engineering and Applications, 5(3-1), 30-33. https://doi.org/10.11648/j.ajsea.s.2016050301.17
ACS Style
Arman Nejahi; Aydin Parsa. An Overview of Restoration Algorithms for Digital Images. Am. J. Softw. Eng. Appl. 2017, 5(3-1), 30-33. doi: 10.11648/j.ajsea.s.2016050301.17
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Download@article{10.11648/j.ajsea.s.2016050301.17,
author = {Arman Nejahi and Aydin Parsa},
title = {An Overview of Restoration Algorithms for Digital Images},
journal = {American Journal of Software Engineering and Applications},
volume = {5},
number = {3-1},
pages = {30-33},
doi = {10.11648/j.ajsea.s.2016050301.17},
url = {https://doi.org/10.11648/j.ajsea.s.2016050301.17},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajsea.s.2016050301.17},
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.},
year = {2017}
}
TY - JOUR T1 - An Overview of Restoration Algorithms for Digital Images AU - Arman Nejahi AU - Aydin Parsa Y1 - 2017/08/21 PY - 2017 N1 - https://doi.org/10.11648/j.ajsea.s.2016050301.17 DO - 10.11648/j.ajsea.s.2016050301.17 T2 - American Journal of Software Engineering and Applications JF - American Journal of Software Engineering and Applications JO - American Journal of Software Engineering and Applications SP - 30 EP - 33 PB - Science Publishing Group SN - 2327-249X UR - https://doi.org/10.11648/j.ajsea.s.2016050301.17 AB - 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. VL - 5 IS - 3-1 ER -
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