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A Proposed Assessment Metrics for Image Stenography

Authors: Tayel, Mazhar;

A Proposed Assessment Metrics for Image Stenography

Abstract

Data security has become an important problem in the communication systems. Steganography is used to hide existence of a secret-message. In this article a modified Steganography algorithm will be proposed depending on decomposition principle of both secret-message and cover-image. A fuzzification is performed in the secret message to optimize the decomposed coefficients before embedding in the coverimage to get a Stego Image. The well known metrics (Cor., MSE, PSNR, and Entropy) were used to evaluate the modified algorithm. Also, a trade-off factor was introduced to determine an optimum value for the embedding strength factor to get an acceptable degradation. Moreover to evaluate and assess the modified algorithm and any Steganography algorithms, a new histogram metrics are proposed which represents the relative frequency occurrence of the various images.

Keywords

Steganography, Cover- image, Secret-message, Decomposition, Fuzzy set, Histogram Deviation

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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