Passive Image Forgery Detection Based on the Demosaicing Algorithm and JPEG Compression

Multimedia files play an important role in everyday life. Today, the majority of the population owns state-of-the-art cameras integrated into their mobile devices. Technological development not only facilitates the generation of multimedia content, but also the intentional manipulation of it, and th...

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Bibliographic Details
Published in:IEEE access 2020, Vol.8, p.11815-11823
Main Authors: Armas Vega, Esteban Alejandro, Gonzalez Fernandez, Edgar, Sandoval Orozco, Ana Lucila, Garcia Villalba, Luis Javier
Format: Article
Language:English
Subjects:
Algorithms
Blind technique
chrominance
copy-move
digital image
Digital images
Digital imaging
Discrete cosine transforms
Electronic devices
Feature extraction
Forensics
forensics analysis
Forgery
forgery detection
Image coding
Image compression
Image manipulation
Interpolation
Multimedia
Pattern analysis
Splicing
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Summary:Multimedia files play an important role in everyday life. Today, the majority of the population owns state-of-the-art cameras integrated into their mobile devices. Technological development not only facilitates the generation of multimedia content, but also the intentional manipulation of it, and this is where forensic techniques of detecting manipulation on images and videos take on great importance. Although historically there has been confidence in the integrity of images, the advance of technology has begun to erode this confidence. This work proposes a digital image authentication method based on the quadratic mean error of the Color Filter Array interpolation pattern estimated from the analysed image. For the evaluation of the proposed method, experiments were carried out with public databases of forged images that are widely developed for research purposes. The results of the experiments demonstrate the efficiency of the proposed method.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.2964516