In this paper an efficient & robust non-blind watermarking technique based on multi-resolution geometric
analysis named curvelet transform is proposed. Curvelet transform represent edges along curve much more
efficiently than the wavelet transform and other traditional transforms. The proposed algorithm of
embedding watermark in different scales in curvelet domain is implemented and the results are compared
using proper metric. The visual quality of watermarked image, efficiency of data hiding and the quality of
extracted watermark of curvelet domain embedding techniques with wavelet Domain at different number of
decomposition levels are compared. Experimental results show that embedding in curvelet domain yields
best visual quality in watermarked image, the quality of extracted watermark, robustness of the watermark
and the data hiding efficiency.
%0 Journal Article
%1 noauthororeditor
%A Ranjeeta Kaushik, Sanjay Sharma
%A Raheja, L. R.
%D 2017
%J International Journal in Foundations of Computer Science & Technology (IJFCST)
%K Algorithms Automata Combinatorial Data Formal Games Languages Novel and structures
%N 02
%P 01-14
%R 10.5121/ijfcst.2017.7201
%T DIGITAL WATERMARKING TECHNIQUE BASED ON MULTI-RESOLUTION CURVELET TRANSFORM
%U https://wireilla.com/papers/ijfcst/V7N2/7217ijfcst01.pdf
%V 7
%X In this paper an efficient & robust non-blind watermarking technique based on multi-resolution geometric
analysis named curvelet transform is proposed. Curvelet transform represent edges along curve much more
efficiently than the wavelet transform and other traditional transforms. The proposed algorithm of
embedding watermark in different scales in curvelet domain is implemented and the results are compared
using proper metric. The visual quality of watermarked image, efficiency of data hiding and the quality of
extracted watermark of curvelet domain embedding techniques with wavelet Domain at different number of
decomposition levels are compared. Experimental results show that embedding in curvelet domain yields
best visual quality in watermarked image, the quality of extracted watermark, robustness of the watermark
and the data hiding efficiency.
@article{noauthororeditor,
abstract = {In this paper an efficient & robust non-blind watermarking technique based on multi-resolution geometric
analysis named curvelet transform is proposed. Curvelet transform represent edges along curve much more
efficiently than the wavelet transform and other traditional transforms. The proposed algorithm of
embedding watermark in different scales in curvelet domain is implemented and the results are compared
using proper metric. The visual quality of watermarked image, efficiency of data hiding and the quality of
extracted watermark of curvelet domain embedding techniques with wavelet Domain at different number of
decomposition levels are compared. Experimental results show that embedding in curvelet domain yields
best visual quality in watermarked image, the quality of extracted watermark, robustness of the watermark
and the data hiding efficiency. },
added-at = {2022-03-29T07:15:50.000+0200},
author = {Ranjeeta Kaushik, Sanjay Sharma and Raheja, L. R.},
biburl = {https://www.bibsonomy.org/bibtex/241fb370934541110e54f6d23c43ee08a/usmankhawaja},
doi = {10.5121/ijfcst.2017.7201},
interhash = {839e109a2d37f8b93d6323db9d8f34ab},
intrahash = {41fb370934541110e54f6d23c43ee08a},
issn = {1839-7662},
journal = {International Journal in Foundations of Computer Science & Technology (IJFCST)},
keywords = {Algorithms Automata Combinatorial Data Formal Games Languages Novel and structures},
language = {English},
month = {March},
number = 02,
pages = {01-14},
timestamp = {2022-03-29T07:15:50.000+0200},
title = {DIGITAL WATERMARKING TECHNIQUE BASED ON MULTI-RESOLUTION CURVELET TRANSFORM
},
url = {https://wireilla.com/papers/ijfcst/V7N2/7217ijfcst01.pdf},
volume = 7,
year = 2017
}