An automatic enhanced filters with frequency‑based copy‑move forgery detection for social media images
Using images in various fle types has become common in the modern digital world, such as social media posts, research reports, and legal documents. The availability of low-cost image manipulation tools has made it easier to change images, potentially leading to undetected image fraud. One such form...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2024
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/11690/1/J16830_ace79442b2806b9e1a87ff70f440aaad.pdf http://eprints.uthm.edu.my/11690/ https://doi.org/10.1007/s11042-023-15506-7 |
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