Enhanced copy-paste image forgery detection based on archimedean spiral and coarse-to-fine approach
Duplicated region detection is one of the most common blind image forgery detection techniques to detect evidence of tampering and this is done by scrutinizing clues in a copy-paste image forgery. Two main issues for detecting copy-paste image forgery are robust feature extraction and computational...
| Main Author: | Sekeh, Mohammad Akbarpour |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/43961/5/MuhammadAkbarpourSekehPFSKSM2013.pdf |
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