Detecting Spliced Image Based on Simplified Statistical Model
Author:
Affiliation:
1. ICD - LIST3N, University of Technology of Troyes,Troyes,France
2. School of Cyberspace, Hangzhou Dianzi University,Hangzhou,China
Funder
China Scholarship Council (CSC)
ANR project DEFACTO
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9730106/9730125/09730342.pdf?arnumber=9730342
Reference20 articles.
1. Image Forgery Localization via Integrating Tampering Possibility Maps
2. Patchmatch: A randomized correspondence algorithm for structural image editing;barnes;ACM Transactions on Graphics,2009
3. Generalized signal-dependent noise model and parameter estimation for natural images
4. Identifying Individual Camera Device From RAW Images
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1. Splicing Image Forgery Detection by Deploying Deep Learning Model;2022 International Conference on Automation, Computing and Renewable Systems (ICACRS);2022-12-13
2. Image splicing forgery detection using simplified generalized noise model;Signal Processing: Image Communication;2022-09
3. Efficient Privacy-Preserving Forensic Method for Camera Model Identification;IEEE Transactions on Information Forensics and Security;2022
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