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Reversible Data Hiding Based on Varying radix Numeral system

Computers, Materials & Continua 2021年第10期69卷 283-300页

作者： J.Hemalatha S.Geetha R.Geetha C.Balasubramanian Daniela Elena Popescu D.Jude Hemanth AAA College of Engineering and Technology SivakasiIndia SCOPE VIT UniversityChennaiIndia SENSE VIT UniversityChennaiIndia Department of CSE Kalasalingam Academy of Research and EducationIndia Faculty of Electrical Engineering and Information Technology University of OradeaOradeaRomania Department of ECE Karunya Institute of Technology and SciencesCoimbatoreIndia

A novel image reversible data-hiding scheme based on primitive and varying radix numerical model is presented in this *** varying radix,variable sum of data may be embedded in various pixels of *** scheme is made adaptive using the correlation of the neighboring *** are embedded as blocks of non-uniform length in the high-frequency regions of the rhombus mean interpolated image.A higher amount of data is embedded in the high-frequency regions and lesser data in the low-frequency regions of the *** size of the embedded data depends on the statistics of the pixel distribution in the cover *** of the major issues in reversible data embedding,the location map,is minimized because of the interpolation *** technique,which is actually LSB matching,embeds only the residuals of modulo radix into the LSBs of each *** attacks on this RDH technique will be able to decode the hidden content in the marked *** proposed scheme delivers a prominent visual quality despite high embedding *** tests carried out on over 100 natural image data sets and medical images show an improvement in results compared to the existing *** the algorithm is based on the variable radix number system,it is more resistant to most of the steganographic *** results were compared with a higher embedding capacity of up to 1.5 bpp reversible schemes for parameters like Peak Signal-to-Noise Ratio(PSNR),Embedding Capacity(EC)and Structural Similarity Index Metric(SSIM).

关键词： Data hiding spatial correlation radix system prediction error embedding capacity

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