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Statistical Image Classification for Image Steganographic Techniques
Author(s) -
Seyyed Amin Seyyedi,
Nick Ivanov
Publication year - 2014
Publication title -
international journal of image graphics and signal processing
Language(s) - English
Resource type - Journals
eISSN - 2074-9082
pISSN - 2074-9074
DOI - 10.5815/ijigsp.2014.08.03
Subject(s) - image (mathematics) , artificial intelligence , steganography , computer science , pattern recognition (psychology) , steganalysis , computer vision
Steganography is the method of information hiding. Free selection of cover image is a particular preponderance of steganography to other information hiding techniques. The performance of steganographic system can be improved by selecting the reasonable cover image. This article presents two level unsupervised image classification algorithm based on statistical characteristics of the image which helps Sender to make reasonable selection of cover image to enhance performance of steganographic method based on his specific purpose. Experiments demonstrate the effect of classification in satisfying steganography requirements

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