Paper Info
Title
Passive Image Forgery Detection Based on the Demosaicing Algorithm and JPEG Compression
Abstract
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.
Year
DOI
Venue
2020
10.1109/ACCESS.2020.2964516
IEEE ACCESS
Keywords
DocType
Volume
Blind technique,chrominance,copy-move,digital image,forensics analysis,forgery detection,splicing
Journal
8
ISSN
Citations 
PageRank 
2169-3536
1
0.35
References 
Authors
0
4
Name
Order
Citations
PageRank
Esteban Alejandro Armas Vega132.06
Edgar González Fernández231.72
Ana Lucila Sandoval Orozco317426.45
Luis Javier Garcí-a Villalba419028.39