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Sondos M. Fadl
Person information
- affiliation: Menoufia University, Egypt
- affiliation: Harbin Institute of Technology, School of Computer Science and Technology, China
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2020 – today
- 2024
- [j7]Amr Megahed, Qi Han, Sondos M. Fadl:
Exposing deepfake using fusion of deep-learned and hand-crafted features. Multim. Tools Appl. 83(9): 26797-26817 (2024) - 2023
- [j6]Sondos M. Fadl, Khalid M. Hosny, Mohamed Hammad:
Automatic fake document identification and localization using DE-Net and color-based features of foreign inks. J. Vis. Commun. Image Represent. 92: 103801 (2023) - 2021
- [j5]Sondos M. Fadl, Qi Han, Qiong Li:
CNN spatiotemporal features and fusion for surveillance video forgery detection. Signal Process. Image Commun. 90: 116066 (2021) - 2020
- [j4]Sondos M. Fadl, Qi Han, Li Qiong:
Exposing video inter-frame forgery via histogram of oriented gradients and motion energy image. Multidimens. Syst. Signal Process. 31(4): 1365-1384 (2020) - [j3]Sondos M. Fadl, Amr Megahed, Qi Han, Qiong Li:
Frame duplication and shuffling forgery detection technique in surveillance videos based on temporal average and gray level co-occurrence matrix. Multim. Tools Appl. 79(25-26): 17619-17643 (2020)
2010 – 2019
- 2019
- [j2]Sondos M. Fadl, Qi Han, Qiong Li:
Inter-frame forgery detection based on differential energy of residue. IET Image Process. 13(3): 522-528 (2019) - 2018
- [c4]Sondos M. Fadl, Qi Han, Qiong Li:
Surveillance Video Authentication Using Universal Image Quality Index of Temporal Average. IWDW 2018: 337-350 - 2017
- [j1]Sondos M. Fadl, Noura A. Semary:
Robust Copy-Move forgery revealing in digital images using polar coordinate system. Neurocomputing 265: 57-65 (2017) - 2015
- [c3]Noura A. Semary, Sondos M. Fadl, Magda S. Essa, Ahmed Fawzy Gad:
Currency recognition system for visually impaired: Egyptian banknote as a study case. ICTA 2015: 1-6 - 2014
- [c2]Sondos M. Fadl, Noura A. Semary, Mohiy M. Hadhoud:
Fan Search for Image Copy-Move Forgery Detection. AMLTA 2014: 177-186 - [c1]Sondos M. Fadl, Noura A. Semary:
A proposed accelerated image copy-move forgery detection. VCIP 2014: 253-257
Coauthor Index
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