A hybrid technique to discriminate Natural Images, Computer Generated Graphics Images, Spliced, Copy Move tampered images and Authentic images by using features and ELM classifier

Author:

Sharma Surbhi,Ghanekar Umesh

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference53 articles.

1. Digital image forgery detection using passive techniques: a survey;Birajdar;Digital Invest.,2013

2. M. Kumar, S. Srivastva, Image forgery detection based on physics and pixels: a study, Aust. J. Forensic Sci., https://doi.org/10.1080/00450618.2017.1356868.

3. Physics-motivated features for distinguishing photographic images and computer graphics;Ng,2005

4. Distinguishing computer graphics from photographic images using local binary patterns;Li,2013

5. Detecting the composite of photographic image and computer generated image combining with color, texture and shape feature;Ke;J. Theor. Appl. Inf. Technol.,2013

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