NDLI: Data hiding based on image texture classification

Content Provider	Springer Nature Link
Author	Varsaki, Eleni E. Fotopoulos, Vassilis Skodras, Athanassios N.
Copyright Year	2011
Abstract	In this paper, a new pattern-based fragile, semi-blind, spatial domain data hiding scheme is proposed. The Local Binary Pattern texture classification approach is used, in order to transparently and securely embed secret data into an image. Pixel values are modified in such a way that the texture satisfies the message requirements. The method is thoroughly studied and compared to other techniques in spatial domain in terms of capacity and image quality. The scheme performs well in images with smooth areas and can be used for authentication, tamper proofing, and secret communications.
Starting Page	247
Ending Page	253
Page Count	7
File Format	PDF
ISSN	18631703
Journal	Signal, Image and Video Processing
Volume Number	7
Issue Number	2
e-ISSN	18631711
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-05-18
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Data hiding Texture analysis Local binary pattern Authentication Signal, Image and Speech Processing Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Multimedia Information Systems
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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Data hiding based on image texture classification