Comprehensive study on image forgery techniques using deep learning
Author:
Affiliation:
1. G H Raisoni Institute of Engineering & Technology,Department of Science & Technology,Nagpur,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10150431/10151452/10151540.pdf?arnumber=10151540
Reference16 articles.
1. A novel forensic image analysis tool for discovering double JPEG compression clues
2. An efficient copy move forgery detection using deep learning feature extraction and matching algorithm
3. A Study for Face Recognition Using Techniques PCA and KNN;kosarkar;IOSR Journal of Computer Engineering (IOSR-JCE),2021
4. Blind Approach for Digital Image Forgery Detection
5. Encoder-decoder based convolutional neural networks for image forgery detection
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