Exposing Image Forgery by Detecting Consistency of Shadow
We propose two tampered image detection methods based on consistency of shadow. The first method is based on texture consistency of shadow for the first kind of splicing image, in which the shadow as well as main body is copied and pasted from another image. The suspicious region including shadow an...
Saved in:
Main Authors: | Yongzhen Ke, Fan Qin, Weidong Min, Guiling Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/364501 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Image forgery detection algorithm based on U-shaped detection network
by: Zhuzhu WANG
Published: (2019-04-01) -
FI-SURF algorithm for image copy-flip-move forgery detection
by: IYan L, et al.
Published: (2015-05-01) -
Digital Image Forgery Detection Using JPEG Features and Local Noise Discrepancies
by: Bo Liu, et al.
Published: (2014-01-01) -
Detection of image copy-move forgery using local intensity order pattern
by: Jing LIN, et al.
Published: (2016-10-01) -
Modal-Guided Multi-Domain Inconsistency Learning for Face Forgery Detection
by: Zishuo Guo, et al.
Published: (2024-12-01)