Composition of Visual Feature Vector Pattern for Deep Learning in Image Forensics

Composition of Visual Feature Vector Pattern for Deep Learning in Image Forensics

In image forensics, to determine whether the image is impurely transformed, it extracts and examines the features included in the suspicious image. In general, the features extracted for the detection of forgery images are based on numerical values, so it is somewhat unreasonable to use in the CNN s...

Full description

Bibliographic Details
Main Author: Kang Hyeon Rhee
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Image forensics
forgery image
feature vector
least-squares solution
deep learning
CNN
Online Access:https://ieeexplore.ieee.org/document/9214435/

Internet

https://ieeexplore.ieee.org/document/9214435/

Similar Items