A robust detection and localization technique for copy-move forgery in digital images-Reference-Cited by-同舟云学术

A robust detection and localization technique for copy-move forgery in digital images

Published:2023-01 Issue:1 Volume:35 Page:449-461
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Alhaidery Manaf Mohammed Ali,Taherinia Amir Hossein,Shahadi Haider Ismael

Publisher

Elsevier BV

Subject

General Computer Science

Reference49 articles.

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3. Ardizzone, E., Bruno, A., Mazzola, G, 2015. Copy-Move Forgery Detection by Matching Triangles of Keypoints. 6013 (c), 1–13. https://doi.org/10.1109/TIFS.2015.2445742.

4. Copy-move and splicing image forgery detection and localization techniques: A review;Asghar;Aust. J. Forensic Sci.,2017

5. Multi-level dense descriptor and hierarchical feature matching for copy – Move forgery detection;Bi;Inf. Sci.,2016

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