Coarse-to-fine copy-move image forgery detection method based on discrete cosine transform
Digital image forgery has become a serious problem in the present society. As the world is advancing in the information and communication technology, it has become more crucial for researchers to take part in overcoming the wide-spreading digital image forgery to prove an image authenticity especial...
Saved in:
Main Author: | Mohd. Azol, Mas Elyna |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/78797/1/MasElynaMohdMFC2016.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhanced copy-paste image forgery detection based on archimedean spiral and coarse-to-fine approach
by: Sekeh, Mohammad Akbarpour
Published: (2013) -
Graphics processing unit based parallel copy move image forgery detection scheme
by: Zulkurnain, Ahmad Uways
Published: (2015) -
Video copy-move forgery detection scheme based on displacement paths
by: Ibrahim, Omar Ismael
Published: (2017) -
Enhanced dominated completed median ternary pattern for detection of copy-move image forgery against post-processing operations
by: Muhamad, Rafidah
Published: (2020) -
Copy-move image forgery detection based on Gabor descriptors and K-Means clustering /
by: Parvez, H. M. Shahriar
Published: (2018)