P. Vandana Inamdar, und C. Thorat. ACEEE International Journal on Signal & Image Processing, 3 (1):
6(Januar 2012)
Zusammenfassung
This paper presents a rotation scale invariant digital
color image watermarking technique using Scale Invariant
Feature Transform (SIFT) which is invariant to geometric
transformation. The image descriptors extracted using SIFT
transform of original image and watermarked image are used
for estimating the scaling factor and angle of rotation of
attacked image. Using estimated factors attacked image is
then restored to its original size for synchronization purpose.
As a result of synchronization, watermark detection is done
correctly. In proposed approach the offline signature, which is
a biometric characteristics of owner is embedded in second
level detailed coefficients of discrete wavelet transform of
cover image. The simulation results show that the algorithm
is robust against signal processing and geometric attack
%0 Journal Article
%1 vandanainamdar2012rotation
%A Vandana Inamdar, Priti Rege
%A Thorat, Chandrama
%D 2012
%E Das, Dr Vinu V
%J ACEEE International Journal on Signal & Image Processing
%K SIFT geometric_attacks
%N 1
%P 6
%T Rotation Scale Invariant Semi Blind Biometric
Watermarking Technique for Colour Image
%U http://doi.searchdl.org/01.IJSIP.3.1.80
%V 3
%X This paper presents a rotation scale invariant digital
color image watermarking technique using Scale Invariant
Feature Transform (SIFT) which is invariant to geometric
transformation. The image descriptors extracted using SIFT
transform of original image and watermarked image are used
for estimating the scaling factor and angle of rotation of
attacked image. Using estimated factors attacked image is
then restored to its original size for synchronization purpose.
As a result of synchronization, watermark detection is done
correctly. In proposed approach the offline signature, which is
a biometric characteristics of owner is embedded in second
level detailed coefficients of discrete wavelet transform of
cover image. The simulation results show that the algorithm
is robust against signal processing and geometric attack
@article{vandanainamdar2012rotation,
abstract = {This paper presents a rotation scale invariant digital
color image watermarking technique using Scale Invariant
Feature Transform (SIFT) which is invariant to geometric
transformation. The image descriptors extracted using SIFT
transform of original image and watermarked image are used
for estimating the scaling factor and angle of rotation of
attacked image. Using estimated factors attacked image is
then restored to its original size for synchronization purpose.
As a result of synchronization, watermark detection is done
correctly. In proposed approach the offline signature, which is
a biometric characteristics of owner is embedded in second
level detailed coefficients of discrete wavelet transform of
cover image. The simulation results show that the algorithm
is robust against signal processing and geometric attack},
added-at = {2012-09-18T08:14:41.000+0200},
author = {Vandana Inamdar, Priti Rege and Thorat, Chandrama},
biburl = {https://www.bibsonomy.org/bibtex/2e958097d9450f79659530a6927ec18a0/ideseditor},
editor = {Das, Dr Vinu V},
interhash = {81266ccdf9b390cb060381c1e99983e7},
intrahash = {e958097d9450f79659530a6927ec18a0},
journal = {ACEEE International Journal on Signal & Image Processing},
keywords = {SIFT geometric_attacks},
month = {January},
number = 1,
pages = 6,
timestamp = {2012-09-18T08:14:42.000+0200},
title = {Rotation Scale Invariant Semi Blind Biometric
Watermarking Technique for Colour Image},
url = {http://doi.searchdl.org/01.IJSIP.3.1.80},
volume = 3,
year = 2012
}