Paper Info
Title
CFA-aware features for steganalysis of color images
Abstract
Color interpolation is a form of upsampling, which introduces constraints on the relationship between neighboring pixels in a color image. These constraints can be utilized to substantially boost the accuracy of steganography detectors. In this paper, we introduce a rich model formed by 3D co-occurrences of color noise residuals split according to the structure of the Bayer color filter array to further improve detection. Some color interpolation algorithms, AHD and PPG, impose pixel constraints so tight that extremely accurate detection becomes possible with merely eight features eliminating the need for model richification. We carry out experiments on non-adaptive LSB matching and the content-adaptive algorithm WOW on five different color interpolation algorithms. In contrast to grayscale images, in color images that exhibit traces of color interpolation the security of WOW is significantly lower and, depending on the interpolation algorithm, may even be lower than non-adaptive LSB matching.
Year
DOI
Venue
2015
10.1117/12.2078399
Proceedings of SPIE
Keywords
Field
DocType
sensors,steganography,algorithms,steganalysis
Computer vision,High color,Color histogram,Pattern recognition,Color depth,Color balance,Demosaicing,Artificial intelligence,Color filter array,Mathematics,Color quantization,Color image
Conference
Volume
ISSN
Citations 
9409
0277-786X
10
PageRank 
References 
Authors
0.50
11
2
Name
Order
Citations
PageRank
Miroslav Goljan12430221.88
Jessica Fridrich28014592.05