Seam-Carving forgery detection based on expanded Markov features
To deal with the digital image forgery using Seam-Carving, a detection algorithm based on expanded Markov features was proposed. The algorithm takes full acount of the image frequency domain change caused by Seam-Carving operation, merges the features based on traditional and expands Markov transfer...
Saved in:
| Main Authors: | Guo-rui SHENG, Tie-gang GAO, Li FAN, Lin GAO, Fu-sheng YANG, Shun ZHANG |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2014-06-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/thesisDetails#10.3969/j.issn.1000-436x.2014.06.006 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Low scaling factor Seam Carving tamper detection algorithm with hybrid attention
by: ZHAO Jie, et al.
Published: (2024-06-01) -
Content-aware image resizing based on random-carving with probability
by: Ying-chun GUO, et al.
Published: (2017-06-01) -
Content-aware image resizing based on random-carving with probability
by: Ying-chun GUO, et al.
Published: (2017-06-01) -
Copy-move forgery detection using binary discriminant features
by: Priya Mariam Raju, et al.
Published: (2022-02-01) -
DFST-UNet: Dual-Domain Fusion Swin Transformer U-Net for Image Forgery Localization
by: Jianhua Yang, et al.
Published: (2025-05-01)