Detection of Image Tampering Using Deep Learning, Error Levels and Noise Residuals.
Sunen ChakrabortyKingshuk ChatterjeeParamita DeyPublished in: Neural Process. Lett. (2024)
Keyphrases
- deep learning
- copy move forgery
- digital images
- input image
- single image
- forgery detection
- object detection
- image classification
- multiscale
- image features
- bounding box
- image regions
- image segmentation
- high resolution
- weakly supervised
- watermark detection
- region of interest
- image content
- computer vision
- segmentation method
- image representation
- image retrieval
- machine learning
- unsupervised learning
- test images
- maximum likelihood
- information extraction
- gaussian noise
- face recognition
- image processing
- feature selection