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New Center Folding Strategy Encoding for Reversible Data Hiding in Dual Stego Images

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Intelligent Systems

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

A new center folding encoding technique used for dual stego image is proposed. This proposed encoding technique aims to minimize distortion caused due to the changes made in the pixel while embedding. As the modification in pixel intensity reduces, the distortion of these stego images also reduces. This outline, first, combines the data bits and converts to decimal to obtain the decimal intensity. The index is generated from the decimal intensity using the intensity reduction process. The index is further converted to an encoded index, and it is hidden on the cover image. During the extraction stage, the encoded index is extracted after the dual stego images and it is renewed to index. The decimal intensity is reconstructed from the index using the intensity reconstruction process. Finally, the decimal intensity values are transformed to binary to estimate the secret image. The performance evaluation of the proposed dual stego reversible data hiding (RDH) was done using the factors such as peak signal-to-noise ratio (PSNR) and embedding rate.

Register number of the organisation is 17213112162017.

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Shaji, C., Shatheesh Sam, I. (2021). New Center Folding Strategy Encoding for Reversible Data Hiding in Dual Stego Images. In: Sheth, A., Sinhal, A., Shrivastava, A., Pandey, A.K. (eds) Intelligent Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-2248-9_9

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