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Book ChapterDOI

Encryption Based Robust Watermarking in Fractional Wavelet Domain

TLDR
In this chapter, a robust watermarking technique based on encryption in fractional wavelet Domain is presented to improve the protection and authentication of the images.
Abstract
In this chapter, a robust watermarking technique based on encryption in fractional wavelet Domain is presented to improve the protection and authentication of the images. The core idea of the proposed watermarking scheme is to encrypt an image via fractional wavelet transform and then watermark is embedded in encrypted image by modifying the singular values. After embedding, watermarked encrypted image is decrypted with the help fractional wavelet transform to get the watermarked image. First, watermarked image is encrypted by same algorithm at the receiver’s end and then watermark is extracted by proposed watermark extraction algorithm. The feasibility of this method and its robustness against different kind of attacks are verified by computer simulations.

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Citations
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Journal ArticleDOI

A novel fractional wavelet transform and its applications

TL;DR: In this paper, a novel fractional wavelet transform (FRWT) is proposed in order to rectify the limitations of the WT and the FRFT in the time-frequency domain.
Journal ArticleDOI

Discrete fractional wavelet transform and its application to multiple encryption

TL;DR: A novel encryption scheme is proposed for securing multiple images during communication and transmission over insecure channel by discretizing continuous fractional wavelet transform and chaotic maps.
Journal ArticleDOI

Generalized wavelet transform based on the convolution operator in the linear canonical transform domain

Deyun Wei, +1 more
- 01 Aug 2014 - 
TL;DR: The generalized wavelet transform (GWT) as discussed by the authors is a time-frequency transformation tool based on the idea of the linear canonical transform (LCT) and is capable of representing signals in the time-fractional frequency plane.
Journal ArticleDOI

Multiresolution analysis and orthogonal wavelets associated with fractional wavelet transform

TL;DR: This paper develops multiresolution analysis associated with the FRWT and derives a construction of orthogonal wavelets for theFRWT, and some applications of the derived results are discussed.
Journal ArticleDOI

Fractional dual tree complex wavelet transform and its application to biometric security during communication and transmission

TL;DR: In this paper, biometric is chosen as the primary application and hence a new technique is proposed for securing biometrics during communication and transmission over insecure channel, i.e. the fractional dual tree complex wavelet transform (FrDT-CWT).
References
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Journal ArticleDOI

A theory for multiresolution signal decomposition: the wavelet representation

TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
Book

Handbook of Applied Cryptography

TL;DR: A valuable reference for the novice as well as for the expert who needs a wider scope of coverage within the area of cryptography, this book provides easy and rapid access of information and includes more than 200 algorithms and protocols.
Journal ArticleDOI

Communication theory of secrecy systems

TL;DR: A theory of secrecy systems is developed on a theoretical level and is intended to complement the treatment found in standard works on cryptography.
Journal ArticleDOI

Secure spread spectrum watermarking for multimedia

TL;DR: It is argued that insertion of a watermark under this regime makes the watermark robust to signal processing operations and common geometric transformations provided that the original image is available and that it can be successfully registered against the transformed watermarked image.
Journal ArticleDOI

The wavelet transform, time-frequency localization and signal analysis

TL;DR: Two different procedures for effecting a frequency analysis of a time-dependent signal locally in time are studied and the notion of time-frequency localization is made precise, within this framework, by two localization theorems.
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