Paper Info
Title
A hybrid image authentication method robust to JPEG attacks
Abstract
Checking authentication of digital images have become a necessity due to ever increasing use in many fields. Passive methods, which make use of image statistics, have gained popularity among researchers lately. Block based authentication methods using feature vectors of subblocks in images can be classified as either spatial or frequency domain. A new hybrid authentication technique is proposed in this paper with desired properties of both spatial and frequency domain methods in feature extraction. Both information from the color components and frequency domain representation of the corresponding blocks are used while forming the feature vectors. The proposed method is robust to some post processing operations such as Gauss blurring, additive white noise and JPEG compression as shown in the experimental results.
Year
DOI
Venue
2014
10.1109/SIU.2014.6830549
Signal Processing and Communications Applications Conference
Keywords
Field
DocType
copy protection,data compression,feature extraction,image coding,white noise,Gauss blurring,JPEG attack,JPEG compression,additive white noise,digital image authentication,feature extraction,feature vector,hybrid image authentication method,post processing operation,spatial and frequency domain method,Copy move forgery,Discrete cosine transform
Frequency domain,Computer vision,Feature vector,Pattern recognition,Computer science,Transform coding,Digital image,Feature extraction,Hybrid image,JPEG,Artificial intelligence,Data compression
Conference
ISSN
Citations 
PageRank 
2165-0608
0
0.34
References 
Authors
2
4
Name
Order
Citations
PageRank
Beste Gencturk100.34
Vasif V. Nabiyev212114.59
Güzin Ulutas36311.39
Mustafa Ulutas48311.05