Copy-Move Forgery Detection and Localization Using a Generative Adversarial Network and Convolutional Neural-Network

Information (Switzerland) - Switzerland
doi 10.3390/info10090286
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

A Symbol-Level Melody Completion Based on a Convolutional Neural Network With Generative Adversarial Learning

Journal of Information Processing
2020English

Copy Move Image Forgery Detection Using Wavelet Transform

International Journal of Engineering Trends and Technology
2017English

Image Copy Move Forgery Detection: A Review

International Journal of Future Generation Communication and Networking
Computer NetworksCommunications
2018English

Improvement in Copy -Move Forgery Detection Using Hybrid Approach

International Journal of Modern Education and Computer Science
2016English

Lung Cancer Detection Using Convolutional Neural Network

International Journal of Engineering and Advanced Technology
EngineeringComputer Science ApplicationsEnvironmental Engineering
2019English

A Hybrid Copy-Move Forgery Detection Technique Using Regional Similarity Indices

International Journal of Computer Science and Information Technology
2015English

Copy-Move Detection of Image Forgery by Using DWT and SIFT Methodologies

International Journal of Computer Applications
2016English

3D Model Generation and Reconstruction Using Conditional Generative Adversarial Network

International Journal of Computational Intelligence Systems
Computational MathematicsComputer Science
2019English

Image Forgery and Detection of Copy Move Forgery in Digital Images: A Survey of Recent Forgery Detection Techniques

International Journal of Computer Applications
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy