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Erschienen in:

2023 | OriginalPaper | Buchkapitel

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

verfasst von : Riya Punia, Aruna Malik

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

Verlag: Springer Nature Singapore

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Abstract

Whenever any data is embedded inside any image, then there is always some distortion caused, which caught the attention of attackers. As a consequence of this, there is always a need to reach a balance between the image quality and the embedding capacity of the picture. The researchers working in the field of data hiding have two basic objectives: one is to boost the performance of the suggested algorithms, and the other is to give a better capacity for embedding. This survey paper focuses on various traditional interpolation methods and interpolation-based data hiding techniques for the past few years. Also, the goal of this survey is to offer an in-depth evaluation of current up-to-date approaches, as well as their benefits and drawbacks if any. This survey paper concludes with some research recommendations that can be used in the future to enhance both embedding capacity as well as image visual quality.

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Vorheriges Kapitel Steganography Methods for GIF Images: A Review

Nächstes Kapitel A Comparative Review on Image Interpolation-Based Reversible Data Hiding

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Titel: Image Interpolation-Based Steganographic Techniques Under Spatial Domain: A Survey
verfasst von: Riya Punia
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_50

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