Hybrid deep learning and machine learning approach for passive image forensic

Author:

Thakur Abhishek1,Jindal Neeru1

Affiliation:

1. Electronics and Communication Engineering DepartmentThapar Institute of Engineering and TechnologyPatialaIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference36 articles.

1. An efficient noisy pixels detection model for CT images using extreme learning machines;Caliskan A.;Teh. Vjesn.,2018

2. Object-Based Convolutional Neural Network for High-Resolution Imagery Classification

3. Segmentation-Based Image Copy-Move Forgery Detection Scheme

4. DongJ. WangW.: ‘CASIA tampered image detection evaluation (TIDE) database v1.0 and v2.0’ http://forensics.idealtest.org/ 2011

5. Detection and Localization of Image Forgeries Using Resampling Features and Deep Learning

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