Manipulation detection on image patches using FusionBoost
In this paper, we propose a novel manipulation detection framework for image patches using a fusion procedure, called FusionBoost, in conjunction with accurately detected derivative correlation features. By first dividing all demosaiced samples of a color image into a number of categories, we estima...
Saved in:
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/95869 http://hdl.handle.net/10220/11373 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Be the first to leave a comment!