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...
Saved in:
Main Author: | Sekeh, Mohammad Akbarpour |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/43961/5/MuhammadAkbarpourSekehPFSKSM2013.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Coarse-to-fine copy-move image forgery detection method based on discrete cosine transform
by: Mohd. Azol, Mas Elyna
Published: (2016) -
Graphics processing unit based parallel copy move image forgery detection scheme
by: Zulkurnain, Ahmad Uways
Published: (2015) -
Enhanced dominated completed median ternary pattern for detection of copy-move image forgery against post-processing operations
by: Muhamad, Rafidah
Published: (2020) -
Video copy-move forgery detection scheme based on displacement paths
by: Ibrahim, Omar Ismael
Published: (2017) -
Copy-move image forgery detection based on Gabor descriptors and K-Means clustering /
by: Parvez, H. M. Shahriar
Published: (2018)