Statistical Image Classification for Image Steganographic Techniques

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Author(s)

Seyyed Amin Seyyedi 1,* Nick Ivanov 1

1. Belarusian State University Informatics and Radioelectronics/Department of Electronic Computing Machines, Minsk, 220013, Belarus

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2014.08.03

Received: 28 Feb. 2014 / Revised: 10 Apr. 2014 / Accepted: 3 Jun. 2014 / Published: 8 Jul. 2014

Index Terms

Data Hiding, Steganography, Watermark, Cover Image Selection, Stego-image, Steganalysis

Abstract

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.

Cite This Paper

Seyyed Amin Seyyedi, Nick Ivanov,"Statistical Image Classification for Image Steganographic Techniques", IJIGSP, vol.6, no.8, pp.19-24, 2014. DOI: 10.5815/ijigsp.2014.08.03

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