Sign in
Author
|
Conference
|
Journal
|
Organization
|
Year
|
DOI
Look for results that meet for the following criteria:
since
equal to
before
between
and
Search in all fields of study
Limit my searches in the following fields of study
Agriculture Science
Arts & Humanities
Biology
Chemistry
Computer Science
Economics & Business
Engineering
Environmental Sciences
Geosciences
Material Science
Mathematics
Medicine
Physics
Social Science
Multidisciplinary
Keywords
(11)
Correlation Coefficient
Digital Image Watermarking
Exhaustive Search
Image Quality
mellin transform
Phase Correlation
Spectrum
Translation Invariant
Log Polar Mapping
Power Spectrum
Rotation Scaling and Translation
Related Publications
(6)
Template Based Recovery of Fourier-Based Watermarks Using Log-Polar and Log-Log Maps
Rotation, Scale, and Translation Resilient Public Watermarking for Images
Rotation, scale and translation invariant spread spectrum digital image watermarking 1 1 This work was supported by the Swiss National Science Foundation (grant no. 5003-45334)
Rotation, scale and translation invariant digital image watermarking
Rotation, scale, and translation resilient watermarking for images
Subscribe
Academic
Publications
RST-invariant digital image watermarking based on log-polar mapping and phase correlation
RST-invariant digital image watermarking based on log-polar mapping and phase correlation,10.1109/TCSVT.2003.815959,IEEE Transactions on Circuits and
Edit
RST-invariant digital image watermarking based on log-polar mapping and phase correlation
(
Citations: 65
)
BibTex
|
RIS
|
RefWorks
Download
Dong Zheng
,
Jiying Zhao
,
Abdulmotaleb El-saddik
Based on log-polar mapping and phase correla- tion, this paper presents a novel
digital image watermarking
scheme that is invariant to rotation, scaling, and translation (RST). We embed watermark in the log-polar mappings of Fourier magnitude
spectrum
of original image, and use the
phase correlation
between the LPM of the original image and the LPM of the watermarked image to calculate the displacement of watermark positions in LPM domain. The scheme preserves the
image quality
by avoiding computing inverse log-polar mapping (ILPM), and produces smaller
correlation coefficient
for unwatermarked images by using
phase correlation
to avoid exhaustive search. The evalua- tions demonstrate that the scheme is invariant to rotation and translation, invariant to scaling when the scale is in a reasonable range, and very robust to JPEG compression.
Journal:
IEEE Transactions on Circuits and Systems for Video Technology - TCSV
, vol. 13, no. 8, pp. 753-765, 2003
DOI:
10.1109/TCSVT.2003.815959
Cumulative
Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
(
ieeexplore.ieee.org
)
(
www.informatik.uni-trier.de
)
(
ieeexplore.ieee.org
)
(
ieeexplore.ieee.org
)
More »
Citation Context
(45)
...Based on log polar mapping (LPM) and phase correlation, Zheng et al. [
19
] proposed an image watermarking technique which embeds the watermark into the LPMs of the image Fourier magnitude spectrum...
Mohammad Ali Akhaee
,
et al.
Blind Image Watermarking Using a Sample Projection Approach
...In [7, 8], and [
9
], watermarking was conducted in the magnitude part of FM domain to achieve affine invariance...
Xinbo GaoCheng
,
et al.
Local Feature Based Geometric-Resistant Image Information Hiding
...During the last two decades, numerous watermarking methods have been proposed that show robustness against common signal processing such as: JPEG compression and filtering etc., however relatively few of these methods addressed the robustness to the geometric distortions [
1-11
]...
...In the second one, the watermark signal is embedded in a geometrically invariant domain, such as Log Polar Mapping, Fourier-Mellin Transform domain, etc [
2
], [3]...
Wei Na
,
et al.
Robust Image Watermarking Using Feature Points and Image Normalization
...Lin et al. [3] and Zheng et al. [
6
]‐[8] provided a very good survey of RSTC resilient watermarking...
...1) Invariant Watermark Embedding: The first approach hides a watermark signal in the geometric invariant domain of a host signal [3], [
6
], [14], [15]...
...Zheng et al. [
6
] proposed to use ILPM to get the exact corresponding embedding positions in the Cartesian system and embed each watermark bit in the four neighboring points around the exact position...
...These approaches [3], [
6
], [15] are based on performing ILPM on the watermark signal or its index in embedding; to be more specific, sample points of the watermark in the log-polar system are inversely log-polar mapped to sample points in the Cartesian system...
...Some previous works, e.g., [
6
] and [15], achieve that by carefully choosing the limited embedding position, at the cost of reduced embedding space...
...The very limited cardinality of the watermark is believed to be one of the major limiting factors to the performance of the existing watermarking schemes [3], [
6
], [15]...
...That is probably why the exhaustive search-based resynchronization method or nonblind resynchronization method has been adopted in the watermark detection in [3], [
6
], and [15]...
...The magnitude of the Fourier spectrum has the following property [3], [
6
], [14]:...
...Zheng et al. [
6
] proposed to use phaseonly cross correlation between the Fourier LPM of the original image and the Fourier LPM of the watermarked image to resynchronize the watermark in the LPM domain, and demonstrated that it is efficient and effective for nonblind resynchronization.Weextendtheirworkandthepreviousworks[34]‐[36] to the blind synchronization problem we have here, and propose the following customized phase correlation method ...
...where is the phase of . It is noted that the customized phase correlation method in (10) is different from the phase-only cross correlation used in [
6
]...
...correlation ; 2) the customized phase cross correlation ; 3) the phase-only cross correlation, which is used in [
6
], i.e., . The customized phase cross correlation gives the best hidden data extraction results among the above three methods...
Xiangui Kang
,
et al.
Efficient general print-scanning resilient data hiding based on unifor...
...To further evaluate the performance of the proposed feature, we compare the proposed algorithm with other two typical methods, Seo’s scheme [11] and Fourier-Mellin-transformbased scheme [
12
]...
...In [
12
], the log-polar mapping (LPM) is performed on the magnitude of Fourier spectrum of the image, and then the magnitude of Fourier spectrum of the LPM is only invariant to translation...
...Because the authors in [
12
] adopted the normalized correlation detection method, the Fourier-Mellin spectrum scaled by a factor is not caused the scaling problem...
Yuan-Gen Wang
,
et al.
An image copy detection scheme based on radon transform
References
(25)
Image reconstruction from localized phase
(
Citations: 26
)
Jacques Behar
,
Moshe Porat
,
Yehoshua Y. Zeevi
Journal:
IEEE Transactions on Signal Processing - TSP
, vol. 40, no. 4, pp. 736-743, 1992
The fourier transform and its applications
(
Citations: 1906
)
R. N. Bracewell
Published in 2000.
The importance of phase in signals
(
Citations: 512
)
A. V. Oppenheim
,
J. S. Lim
Journal:
Proceedings of The IEEE - PIEEE
, vol. 69, no. 5, pp. 529-541, 1981
A statistical watermark detection technique without using original images for resolving rightful ownerships of digital images
(
Citations: 102
)
Wenjun Zeng
,
Bede Liu
Journal:
IEEE Transactions on Image Processing
, vol. 8, no. 11, pp. 1534-1548, 1999
Progressive quantized projection watermarking scheme
(
Citations: 15
)
Masoud Alghoniemy
,
Ahmed H. Tewfik
Conference:
ACM Multimedia Conference - MM
, pp. 295-298, 1999
Sort by:
Citations
(65)
Blind Image Watermarking Using a Sample Projection Approach
Mohammad Ali Akhaee
,
Sayed Mohammad Ebrahim Sahraeian
,
Craig Jin
Journal:
IEEE Transactions on Information Forensics and Security
, vol. 6, no. 3, pp. 883-893, 2011
A new video watermarking algorithm based on 1D DFT and Radon transform
(
Citations: 4
)
Yan Liu
,
Jiying Zhao
Journal:
Signal Processing
, vol. 90, no. 2, pp. 626-639, 2010
Rotation invariant watermark embedding based on scale-adapted characteristic regions
(
Citations: 4
)
Lei-Da Li
,
Xiaoping Yuan
,
Zhaolin Lu
,
Jeng-Shyang Pan
Journal:
Information Sciences - ISCI
, vol. 180, no. 15, pp. 2875-2888, 2010
Feature based robust watermarking using image normalization
(
Citations: 3
)
Wei Lu
,
Hongtao Lu
,
Fu-Lai Chung
Journal:
Computers & Electrical Engineering - CEE
, vol. 36, no. 1, pp. 2-18, 2010
Local Feature Based Geometric-Resistant Image Information Hiding
(
Citations: 2
)
Xinbo GaoCheng
,
Cheng Deng
,
Xuelong Li
,
Dacheng Tao
Journal:
Cognitive Computation
, vol. 2, no. 2, pp. 68-77, 2010