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Erschienen in:

2023 | OriginalPaper | Buchkapitel

A Comparative Review on Image Interpolation-Based Reversible Data Hiding

verfasst von : Raju Pratap Sharma, Aruna Malik

Erschienen in: Proceedings of Fourth International Conference on Computing, Communications, and Cyber-Security

Verlag: Springer Nature Singapore

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Abstract

Reversible data hiding (RDH) is one of the most crucial issues in the field of information security in the modern world, as it enables us for securing communication by hiding secret data in a cover media. With the help of this, it also lets us extract the secret data without losing any original data at the receiver side, i.e., called as lossless recovery. RDH is very suitable for medical images for example MRI scans, CT scans, and in military applications. In the past few years, several RDH approaches have been developed, for example, difference expansion, histogram shifting, prediction error expansion, and interpolation. This review paper focuses on different reversible data-hiding strategies that are basically based on interpolation techniques in order to get a good visual image quality and embedding capacity, which have been attempted by many researchers to improve it at the same time.

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Vorheriges Kapitel Image Interpolation-Based Steganographic Techniques Under Spatial Domain: A Survey

Nächstes Kapitel Real-Time Face Mask Detection Using Convolution Neural Network and Computer Vision

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Malik A, Sikka G, Verma HK (2017) Image interpolation based high capacity reversible data hiding scheme, 24107–24123

Titel: A Comparative Review on Image Interpolation-Based Reversible Data Hiding
verfasst von: Raju Pratap Sharma
Aruna Malik
Verlag: Springer Nature Singapore
Buch: Proceedings of Fourth International Conference on Computing, Communications, and Cyber-Security
Print ISBN: 978-981-9914-78-4

Electronic ISBN: 978-981-9914-79-1

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-981-99-1479-1_51

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