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Image steganographic communication demands a fair trade-off among the three diametrically opposed metrics such as higher capacity, larger visual quality, Steganography Critical Review attack survival ability ASA. Recently, some reversible data hiding RDH techniques using dual images have shown promising results to achieve the aforementioned needs.

However, maintaining a balance among these metrics is still an open challenge.

GIAC Security Essentials (GSEC)

In this paper, using the https://amazonia.fiocruz.br/scdp/essay/perception-checking-examples/restrictive-food-intake-disorder-and-anorexia-nervosa.php of shadow image, which is basically the replica of the cover image CI and performing some simple addition and subtraction logic on the shadow image pixels, we propose an improved RDH technique that offers larger capacity, better stego-image Steganograaphy quality and higher ASA. At first, during embedding, three shadow images of the CI are produced. Then, the shadow image pixels are adjusted based on their XOR features of the least significant bit planes. Later at the Steganography Critical Review end, the CI has been restored by applying the round function on the obtained SI pixels.

Experimental results show that the proposed technique offers excellent visual quality with Steganography Critical Review signal-to-noise ratio and structural similarity index SSIM of Further, the proposed technique show exceptional anti-steganalysis ability to regular and singular analysis, pixel difference histogram analysis, and bit pair analysis.

Additionally, the proposed technique successfully avoids the falling-off boundary problem. This is a preview of subscription content, access via your institution. Rent this article via DeepDyve. Hussain, M. Image steganography in spatial domain: A survey.

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Signal Processing: Image Communication, 65, 46— Google Scholar. Kadhim, I. Comprehensive survey of image steganography: Techniques, evaluations, and trends in future research. Neurocomputing,—]