JOURNAL ARTICLE

Detection and Localization of Copy-Move Forgery in Digital Images: Review and Challenges.

  • Published In: International Journal of Image & Graphics, 2023, v. 23, n. 4. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Suresh, Gulivindala; Rao, Chanamallu Srinivasa 3 of 3

Abstract

Copy move forgery in digital images became a common problem due to the wide accessibility of image processing algorithms and open-source editing software. The human visual system cannot identify the traces of forgery in the tampered image. The proliferation of such digital images through the internet and social media is possible with a finger touch. These tampered images have been used in news reports, judicial forensics, medical records, and financial statements. In this paper, a detailed review has been carried on various copy-move forgery detection (CMFD) and localization techniques. Further, challenges in the research are identified along with possible solutions. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Image & Graphics. 2023/07, Vol. 23, Issue 4, p1
  • Document Type:Article
  • Subject Area:Computer Science
  • Publication Date:2023
  • ISSN:0219-4678
  • DOI:10.1142/S0219467823500250
  • Accession Number:169782932
  • Copyright Statement:Copyright of International Journal of Image & Graphics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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