Deep Learning-based forgery detection and localization for compressed images using a hybrid optimization model
Crossref DOI link: https://doi.org/10.1007/s00530-024-01336-6
Published Online: 2024-04-21
Published Print: 2024-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Bhowal, Arundhati
Neogy, Sarmistha
Naskar, Ruchira
Text and Data Mining valid from 2024-04-21
Version of Record valid from 2024-04-21
Article History
Received: 15 December 2023
Accepted: 3 April 2024
First Online: 21 April 2024
Declarations
:
: The authors declare that they have no conflict of interest.