Using Invariant Image Features for Synchronization in Spread Spectrum Image Watermarking

<p/> <p>A watermarking scheme is presented in which the characteristics of both spatial and frequency techniques are combined to achieve robustness against image processing and geometric transformations. The proposed approach consists of three basic steps: estimation of the just noticeab...

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Main Author: Izquierdo Ebroul
Format: Article
Language:English
Published: SpringerOpen 2002-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.1155/S1110865702000719
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spelling doaj-9920eb3d3eb441898b14ceeb58f4b1db2020-11-25T00:35:55ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802002-01-0120024205219Using Invariant Image Features for Synchronization in Spread Spectrum Image WatermarkingIzquierdo Ebroul<p/> <p>A watermarking scheme is presented in which the characteristics of both spatial and frequency techniques are combined to achieve robustness against image processing and geometric transformations. The proposed approach consists of three basic steps: estimation of the just noticeable image distortion, watermark embedding by adaptive spreading of the watermark signal in the frequency domain, and extraction of relevant information relating to the spatial distribution of pixels in the original image. The just noticeable image distortion is used to insert a pseudo-random signal such that its amplitude is maintained below the distortion sensitivity of the pixel into which it is embedded. Embedding the watermark in the frequency domain guarantees robustness against compression and other common image processing transformations. In the spatial domain most salient image points are characterized using the set of Hilbert first-order differential invariants. This information is used to detect geometrical attacks in a frequency-domain watermarked image and to resynchronize the attacked image. The presented schema has been evaluated experimentally. The obtained results show that the technique is resilient to most common attacks including rotation, translation, and scaling.</p>http://dx.doi.org/10.1155/S1110865702000719watermarkingdata hidingimage invariants
collection DOAJ
language English
format Article
sources DOAJ
author Izquierdo Ebroul
spellingShingle Izquierdo Ebroul
Using Invariant Image Features for Synchronization in Spread Spectrum Image Watermarking
EURASIP Journal on Advances in Signal Processing
watermarking
data hiding
image invariants
author_facet Izquierdo Ebroul
author_sort Izquierdo Ebroul
title Using Invariant Image Features for Synchronization in Spread Spectrum Image Watermarking
title_short Using Invariant Image Features for Synchronization in Spread Spectrum Image Watermarking
title_full Using Invariant Image Features for Synchronization in Spread Spectrum Image Watermarking
title_fullStr Using Invariant Image Features for Synchronization in Spread Spectrum Image Watermarking
title_full_unstemmed Using Invariant Image Features for Synchronization in Spread Spectrum Image Watermarking
title_sort using invariant image features for synchronization in spread spectrum image watermarking
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2002-01-01
description <p/> <p>A watermarking scheme is presented in which the characteristics of both spatial and frequency techniques are combined to achieve robustness against image processing and geometric transformations. The proposed approach consists of three basic steps: estimation of the just noticeable image distortion, watermark embedding by adaptive spreading of the watermark signal in the frequency domain, and extraction of relevant information relating to the spatial distribution of pixels in the original image. The just noticeable image distortion is used to insert a pseudo-random signal such that its amplitude is maintained below the distortion sensitivity of the pixel into which it is embedded. Embedding the watermark in the frequency domain guarantees robustness against compression and other common image processing transformations. In the spatial domain most salient image points are characterized using the set of Hilbert first-order differential invariants. This information is used to detect geometrical attacks in a frequency-domain watermarked image and to resynchronize the attacked image. The presented schema has been evaluated experimentally. The obtained results show that the technique is resilient to most common attacks including rotation, translation, and scaling.</p>
topic watermarking
data hiding
image invariants
url http://dx.doi.org/10.1155/S1110865702000719
work_keys_str_mv AT izquierdoebroul usinginvariantimagefeaturesforsynchronizationinspreadspectrumimagewatermarking
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