Improved wavelet-based image watermarking through SPIHT

Improved wavelet-based image watermarking through SPIHT Multimed Tools Appl https://doi.org/10.1007/s11042-018-6177-0 Improved wavelet-based image watermarking through SPIHT 1 1 1 Chandan Kumar & A. K. Singh & P. Kumar Received: 16 March 2018 /Revised: 1 May 2018 /Accepted: 21 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract This paper presents an improved watermarking algorithm using discrete wavelet transform (DWT), discrete cosine transforms (DCT) and singular value decomposition (SVD). Further, robustness and security of algorithm is enhanced by set partitioning in hierarchical tree (SPIHT) and Arnold transform, respectively. The experimental results evident that proposed method is imperceptible and robust against various form of attacks and found superior to other similar technique under consideration. . . . . . Keywords DWT DCT SVD SPIHT Arnold transform Robustness 1 Introduction Internet has become the popular channel for each user to download, transmit multimedia data like images and video [15]. Digital data can easily be tampered or manipulated. However, attackers can copy, store, delete or modify digital data easily. This leads to unauthorized use of digital data/media. To protect the digital contents from unauthorized user/use(s), some notable mechanism is required. Recently, integrity and confidentiality of media contents is maintained by using efficient watermarking technique [15]. In http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multimedia Tools and Applications Springer Journals

Improved wavelet-based image watermarking through SPIHT

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Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Computer Science; Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems
ISSN
1380-7501
eISSN
1573-7721
D.O.I.
10.1007/s11042-018-6177-0
Publisher site
See Article on Publisher Site

Abstract

Multimed Tools Appl https://doi.org/10.1007/s11042-018-6177-0 Improved wavelet-based image watermarking through SPIHT 1 1 1 Chandan Kumar & A. K. Singh & P. Kumar Received: 16 March 2018 /Revised: 1 May 2018 /Accepted: 21 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract This paper presents an improved watermarking algorithm using discrete wavelet transform (DWT), discrete cosine transforms (DCT) and singular value decomposition (SVD). Further, robustness and security of algorithm is enhanced by set partitioning in hierarchical tree (SPIHT) and Arnold transform, respectively. The experimental results evident that proposed method is imperceptible and robust against various form of attacks and found superior to other similar technique under consideration. . . . . . Keywords DWT DCT SVD SPIHT Arnold transform Robustness 1 Introduction Internet has become the popular channel for each user to download, transmit multimedia data like images and video [15]. Digital data can easily be tampered or manipulated. However, attackers can copy, store, delete or modify digital data easily. This leads to unauthorized use of digital data/media. To protect the digital contents from unauthorized user/use(s), some notable mechanism is required. Recently, integrity and confidentiality of media contents is maintained by using efficient watermarking technique [15]. In

Journal

Multimedia Tools and ApplicationsSpringer Journals

Published: Jun 2, 2018

References

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