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Application of local invariant symmetry features to detect and localize image copy move forgeries

  • Published:2019-02 Issue: Volume:44 Page:23-31
  • ISSN:2214-2126
  • Container-title:Journal of Information Security and Applications
  • language:en
  • Short-container-title:Journal of Information Security and Applications

Author:

Vaishnavi D.,Subashini T.S.

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Software

Reference44 articles.

1. DCT based approach for tampered image detection and recovery using block wise fragile watermarking scheme;Shivani,2013

2. Image tamper detection based on edge image and chaotic Arnold map;Vaishnavi;Indian J Sci Technol,2015

3. A self-recovery fragile watermarking scheme for image authentication with superior localization;He;Sci China Ser F,2008

4. A chaotic system based fragile watermarking scheme for image tamper detection;Rawat;AEU-Int J Electron Commun,2011

5. Fragile watermarking scheme based on wavelet edge features;Vaishnavi;J Electr Eng Technol,2015

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1. Robust passive image authentication scheme based on serial companied approach;Multimedia Tools and Applications;2024-08-29

2. Detection of Forged Images Using a Combination of Passive Methods Based on Neural Networks;Future Internet;2024-03-14

3. Copy-Move forgery detection and classification using SRVM;2024 10th International Conference on Artificial Intelligence and Robotics (QICAR);2024-02-29

4. Modified Keypoint-Based Copy Move Area Detection;Procedia Computer Science;2024

5. Keypoint Based Tampered Image Identification;Lecture Notes in Networks and Systems;2024
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