ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1802.03154
  4. Cited By
Boosting Image Forgery Detection using Resampling Features and Copy-move
  analysis

Boosting Image Forgery Detection using Resampling Features and Copy-move analysis

9 February 2018
Tajuddin Manhar Mohammed
Jason Bunk
L. Nataraj
Jawadul H. Bappy
A. Flenner
B. S. Manjunath
S. Chandrasekaran
Amit K. Roy-Chowdhury
Lawrence A. Peterson
ArXivPDFHTML

Papers citing "Boosting Image Forgery Detection using Resampling Features and Copy-move analysis"

2 / 2 papers shown
Title
SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in
  Satellite Imagery
SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery
Chandrakanth Gudavalli
E. Rosten
L. Nataraj
S. Chandrasekaran
B. S. Manjunath
19
8
0
28 Aug 2021
TBNet:Two-Stream Boundary-aware Network for Generic Image Manipulation
  Localization
TBNet:Two-Stream Boundary-aware Network for Generic Image Manipulation Localization
Zan Gao
Chao Sun
Zhiyong Cheng
Weili Guan
Anan Liu
Meng Wang
33
23
0
10 Aug 2021
1