Salient keypoint-based copy–move image forgery detection
Author:
Affiliation:
1. Electronics and Communication Engineering Department, National Institute of Technology Raipur, Raipur, India
Publisher
Informa UK Limited
Subject
Pathology and Forensic Medicine
Link
https://www.tandfonline.com/doi/pdf/10.1080/00450618.2021.2016964
Reference52 articles.
1. Copy-move forgery detection: Survey, challenges and future directions
2. DWT-based blind and robust watermarking using SPIHT algorithm with applications in tele-medicine
3. Current status and key issues in image steganography: A survey
4. Copy-move and splicing image forgery detection and localization techniques: a review
5. Selective Search for Object Recognition
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1. CFDMI-SEC: An optimal model for copy-move forgery detection of medical image using SIFT, EOM and CHM;PLOS ONE;2024-07-23
2. Decoding Image Integrity: A Comprehensive Analysis of YOLOv8’s Performance for Detecting Copy-Move Forgery;2024 11th International Conference on Signal Processing and Integrated Networks (SPIN);2024-03-21
3. Detection Of Image Forgery Using Error Level Analysis;2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2024-01-24
4. Advancing Copy-Move Manipulation Detection in Complex Image Scenarios Through Multiscale Detector;IEEE Access;2024
5. CNN-Keypoint Based Two-Stage Hybrid Approach for Copy-Move Forgery Detection;IEEE Access;2024
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