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Watermarking and Steganography

Introduction to Digital Watermarking - Lecture Slides


Lecture notes for undergraduate and first-year graduate students on digital watermarking and data embedding in multimedia data.

Based on lectures developed at University of Maryland, College Park, USA.

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23 February 2016 - 1:43pm
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408S12_lec9_MMwmk.pdf

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[1] , "Introduction to Digital Watermarking - Lecture Slides", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/133. Accessed: Nov. 12, 2018.
@article{133-15,
url = {http://sigport.org/133},
author = { },
publisher = {IEEE SigPort},
title = {Introduction to Digital Watermarking - Lecture Slides},
year = {2015} }
TY - EJOUR
T1 - Introduction to Digital Watermarking - Lecture Slides
AU -
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/133
ER -
. (2015). Introduction to Digital Watermarking - Lecture Slides. IEEE SigPort. http://sigport.org/133
, 2015. Introduction to Digital Watermarking - Lecture Slides. Available at: http://sigport.org/133.
. (2015). "Introduction to Digital Watermarking - Lecture Slides." Web.
1. . Introduction to Digital Watermarking - Lecture Slides [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/133

UNIFORM EMBEDDING FOR EFFICIENT STEGANOGRAPHY OF H.264 VIDEO

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Authors:
Baolin Zhu,Jiangqun Ni
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7 October 2018 - 4:32pm
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ICIP海报.pdf

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[1] Baolin Zhu,Jiangqun Ni, "UNIFORM EMBEDDING FOR EFFICIENT STEGANOGRAPHY OF H.264 VIDEO", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3601. Accessed: Nov. 12, 2018.
@article{3601-18,
url = {http://sigport.org/3601},
author = {Baolin Zhu;Jiangqun Ni },
publisher = {IEEE SigPort},
title = {UNIFORM EMBEDDING FOR EFFICIENT STEGANOGRAPHY OF H.264 VIDEO},
year = {2018} }
TY - EJOUR
T1 - UNIFORM EMBEDDING FOR EFFICIENT STEGANOGRAPHY OF H.264 VIDEO
AU - Baolin Zhu;Jiangqun Ni
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3601
ER -
Baolin Zhu,Jiangqun Ni. (2018). UNIFORM EMBEDDING FOR EFFICIENT STEGANOGRAPHY OF H.264 VIDEO. IEEE SigPort. http://sigport.org/3601
Baolin Zhu,Jiangqun Ni, 2018. UNIFORM EMBEDDING FOR EFFICIENT STEGANOGRAPHY OF H.264 VIDEO. Available at: http://sigport.org/3601.
Baolin Zhu,Jiangqun Ni. (2018). "UNIFORM EMBEDDING FOR EFFICIENT STEGANOGRAPHY OF H.264 VIDEO." Web.
1. Baolin Zhu,Jiangqun Ni. UNIFORM EMBEDDING FOR EFFICIENT STEGANOGRAPHY OF H.264 VIDEO [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3601

IMPROVED PAIRWISE PIXEL-VALUE-ORDERING FOR HIGH-FIDELITY REVERSIBLE DATA HIDING


Pixel-value-ordering (PVO) appears as an efficient technique for high-fidelity reversible data hiding. This paper proposes a reversible data hiding scheme based on the pairwise PVO framework with improved difference equations. Both the pixel pair selection and the embedding algorithms are also streamlined. The proposed scheme uses a block classification approach based on a local complexity metric. Uniform blocks are processed using the proposed improved pairwise PVO algorithm. Slightly noisy blocks are embedded using a classic PVO scheme and noisy blocks are kept unchanged.

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Authors:
Ioan-Catalin Dragoi, Ion Caciula, Dinu Coltuc
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6 October 2018 - 8:51am
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ICIP2018_pairwiseIPVO.pdf

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[1] Ioan-Catalin Dragoi, Ion Caciula, Dinu Coltuc, "IMPROVED PAIRWISE PIXEL-VALUE-ORDERING FOR HIGH-FIDELITY REVERSIBLE DATA HIDING", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3576. Accessed: Nov. 12, 2018.
@article{3576-18,
url = {http://sigport.org/3576},
author = {Ioan-Catalin Dragoi; Ion Caciula; Dinu Coltuc },
publisher = {IEEE SigPort},
title = {IMPROVED PAIRWISE PIXEL-VALUE-ORDERING FOR HIGH-FIDELITY REVERSIBLE DATA HIDING},
year = {2018} }
TY - EJOUR
T1 - IMPROVED PAIRWISE PIXEL-VALUE-ORDERING FOR HIGH-FIDELITY REVERSIBLE DATA HIDING
AU - Ioan-Catalin Dragoi; Ion Caciula; Dinu Coltuc
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3576
ER -
Ioan-Catalin Dragoi, Ion Caciula, Dinu Coltuc. (2018). IMPROVED PAIRWISE PIXEL-VALUE-ORDERING FOR HIGH-FIDELITY REVERSIBLE DATA HIDING. IEEE SigPort. http://sigport.org/3576
Ioan-Catalin Dragoi, Ion Caciula, Dinu Coltuc, 2018. IMPROVED PAIRWISE PIXEL-VALUE-ORDERING FOR HIGH-FIDELITY REVERSIBLE DATA HIDING. Available at: http://sigport.org/3576.
Ioan-Catalin Dragoi, Ion Caciula, Dinu Coltuc. (2018). "IMPROVED PAIRWISE PIXEL-VALUE-ORDERING FOR HIGH-FIDELITY REVERSIBLE DATA HIDING." Web.
1. Ioan-Catalin Dragoi, Ion Caciula, Dinu Coltuc. IMPROVED PAIRWISE PIXEL-VALUE-ORDERING FOR HIGH-FIDELITY REVERSIBLE DATA HIDING [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3576

REVERSIBLE DATA HIDING IN ENCRYPTED COLOR IMAGES BASED ON VACATING ROOM AFTER ENCRYPTION AND PIXEL PREDICTION


This paper proposes a new vacating room after encryption reversible data hiding scheme developed for color images. The proposed scheme uses standard exclusive-or encryption and inherits the main features of vacating room after encryption schemes, namely joint and separate methods for data embedding. The proposed scheme exploits both the correlation between neighboring pixels and the correlation between color channels by predicting the original pixel values on color channel differences.

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Authors:
Ioan-Catalin Dragoi, Dinu Coltuc
Submitted On:
6 October 2018 - 8:44am
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ICIP2018_CriptColor.pdf

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[1] Ioan-Catalin Dragoi, Dinu Coltuc, "REVERSIBLE DATA HIDING IN ENCRYPTED COLOR IMAGES BASED ON VACATING ROOM AFTER ENCRYPTION AND PIXEL PREDICTION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3574. Accessed: Nov. 12, 2018.
@article{3574-18,
url = {http://sigport.org/3574},
author = {Ioan-Catalin Dragoi; Dinu Coltuc },
publisher = {IEEE SigPort},
title = {REVERSIBLE DATA HIDING IN ENCRYPTED COLOR IMAGES BASED ON VACATING ROOM AFTER ENCRYPTION AND PIXEL PREDICTION},
year = {2018} }
TY - EJOUR
T1 - REVERSIBLE DATA HIDING IN ENCRYPTED COLOR IMAGES BASED ON VACATING ROOM AFTER ENCRYPTION AND PIXEL PREDICTION
AU - Ioan-Catalin Dragoi; Dinu Coltuc
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3574
ER -
Ioan-Catalin Dragoi, Dinu Coltuc. (2018). REVERSIBLE DATA HIDING IN ENCRYPTED COLOR IMAGES BASED ON VACATING ROOM AFTER ENCRYPTION AND PIXEL PREDICTION. IEEE SigPort. http://sigport.org/3574
Ioan-Catalin Dragoi, Dinu Coltuc, 2018. REVERSIBLE DATA HIDING IN ENCRYPTED COLOR IMAGES BASED ON VACATING ROOM AFTER ENCRYPTION AND PIXEL PREDICTION. Available at: http://sigport.org/3574.
Ioan-Catalin Dragoi, Dinu Coltuc. (2018). "REVERSIBLE DATA HIDING IN ENCRYPTED COLOR IMAGES BASED ON VACATING ROOM AFTER ENCRYPTION AND PIXEL PREDICTION." Web.
1. Ioan-Catalin Dragoi, Dinu Coltuc. REVERSIBLE DATA HIDING IN ENCRYPTED COLOR IMAGES BASED ON VACATING ROOM AFTER ENCRYPTION AND PIXEL PREDICTION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3574

3D STEGANALYSIS USING THE EXTENDED LOCAL FEATURE SET


3D steganalysis aims to find the changes embedded through steganographic or information hiding algorithms into 3D models. This research study proposes to use new 3D features, such as the edge vectors, represented in both Cartesian and Laplacian coordinate systems, together with other steganalytic features, for improving the results of 3D steganalysers. In this way the local feature vector used by the steganalyzer is extended to 124 dimensions.

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Authors:
Daofu Gong, Fenlin Liu
Submitted On:
4 October 2018 - 5:27pm
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3D Steganalysis

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[1] Daofu Gong, Fenlin Liu, "3D STEGANALYSIS USING THE EXTENDED LOCAL FEATURE SET", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3466. Accessed: Nov. 12, 2018.
@article{3466-18,
url = {http://sigport.org/3466},
author = {Daofu Gong; Fenlin Liu },
publisher = {IEEE SigPort},
title = {3D STEGANALYSIS USING THE EXTENDED LOCAL FEATURE SET},
year = {2018} }
TY - EJOUR
T1 - 3D STEGANALYSIS USING THE EXTENDED LOCAL FEATURE SET
AU - Daofu Gong; Fenlin Liu
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3466
ER -
Daofu Gong, Fenlin Liu. (2018). 3D STEGANALYSIS USING THE EXTENDED LOCAL FEATURE SET. IEEE SigPort. http://sigport.org/3466
Daofu Gong, Fenlin Liu, 2018. 3D STEGANALYSIS USING THE EXTENDED LOCAL FEATURE SET. Available at: http://sigport.org/3466.
Daofu Gong, Fenlin Liu. (2018). "3D STEGANALYSIS USING THE EXTENDED LOCAL FEATURE SET." Web.
1. Daofu Gong, Fenlin Liu. 3D STEGANALYSIS USING THE EXTENDED LOCAL FEATURE SET [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3466

A New Joint Watermarking-Encryption-JPEG-LS Compression Method for a Priori & a Posteriori Image Protection_Poster


In this paper, we propose the first joint watermarking-encryption-compression scheme for the protection of medical images. Its originality is twofold. In a first time, it allows the access to watermarking-based security services from the encrypted and the compressed bitstreams without having to parse them even partially. It becomes possible to trace images and control their reliability (i.e. integrity and authenticity) from both the encrypted and compressed domains.

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Authors:
Sahar HADDAD, Gouenou COATRIEUX, Michel COZIC
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4 October 2018 - 9:32am
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Poster of "A New Joint Watermarking-Encryption-JPEG-LS Compression Method for a Priori & a Posteriori Image Protection"

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[1] Sahar HADDAD, Gouenou COATRIEUX, Michel COZIC, "A New Joint Watermarking-Encryption-JPEG-LS Compression Method for a Priori & a Posteriori Image Protection_Poster", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3408. Accessed: Nov. 12, 2018.
@article{3408-18,
url = {http://sigport.org/3408},
author = {Sahar HADDAD; Gouenou COATRIEUX; Michel COZIC },
publisher = {IEEE SigPort},
title = {A New Joint Watermarking-Encryption-JPEG-LS Compression Method for a Priori & a Posteriori Image Protection_Poster},
year = {2018} }
TY - EJOUR
T1 - A New Joint Watermarking-Encryption-JPEG-LS Compression Method for a Priori & a Posteriori Image Protection_Poster
AU - Sahar HADDAD; Gouenou COATRIEUX; Michel COZIC
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3408
ER -
Sahar HADDAD, Gouenou COATRIEUX, Michel COZIC. (2018). A New Joint Watermarking-Encryption-JPEG-LS Compression Method for a Priori & a Posteriori Image Protection_Poster. IEEE SigPort. http://sigport.org/3408
Sahar HADDAD, Gouenou COATRIEUX, Michel COZIC, 2018. A New Joint Watermarking-Encryption-JPEG-LS Compression Method for a Priori & a Posteriori Image Protection_Poster. Available at: http://sigport.org/3408.
Sahar HADDAD, Gouenou COATRIEUX, Michel COZIC. (2018). "A New Joint Watermarking-Encryption-JPEG-LS Compression Method for a Priori & a Posteriori Image Protection_Poster." Web.
1. Sahar HADDAD, Gouenou COATRIEUX, Michel COZIC. A New Joint Watermarking-Encryption-JPEG-LS Compression Method for a Priori & a Posteriori Image Protection_Poster [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3408

Watermarking and rank metric codes


This paper presents a different way to improve the resistance of digital watermarking. Using the well known Lattice QIM in the spatial domain, we analyze the interest of using a different kind of error correcting codes: rank metric codes. These codes are already used in communications for network coding but not used in the context of watermarking. In this article, we show how this metric permits to correct errors with a specific structure and is adapted to specific image attacks. We propose a first study to validate the concept of rank metric for watermarking process.

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Authors:
Pascal Lefèvre, Philippe Carré, Philippe Gaborit
Submitted On:
19 April 2018 - 8:54pm
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icassp2018_poster.pdf

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[1] Pascal Lefèvre, Philippe Carré, Philippe Gaborit, "Watermarking and rank metric codes", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3046. Accessed: Nov. 12, 2018.
@article{3046-18,
url = {http://sigport.org/3046},
author = {Pascal Lefèvre; Philippe Carré; Philippe Gaborit },
publisher = {IEEE SigPort},
title = {Watermarking and rank metric codes},
year = {2018} }
TY - EJOUR
T1 - Watermarking and rank metric codes
AU - Pascal Lefèvre; Philippe Carré; Philippe Gaborit
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3046
ER -
Pascal Lefèvre, Philippe Carré, Philippe Gaborit. (2018). Watermarking and rank metric codes. IEEE SigPort. http://sigport.org/3046
Pascal Lefèvre, Philippe Carré, Philippe Gaborit, 2018. Watermarking and rank metric codes. Available at: http://sigport.org/3046.
Pascal Lefèvre, Philippe Carré, Philippe Gaborit. (2018). "Watermarking and rank metric codes." Web.
1. Pascal Lefèvre, Philippe Carré, Philippe Gaborit. Watermarking and rank metric codes [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3046

Yedrouj-Net: An efficient CNN for spatial steganalysis Results Conclusions • An efficient approach based on deep learning (CNN) for steganalysis. • Our method outperforms the state-of-the-art and others CNN-based models with and without taking extra measu


For about 10 years, detecting the presence of a secret message hidden
in an image was performed with an Ensemble Classifier trained
with Rich features. In recent years, studies such as Xu et al. have
indicated that well-designed Convolutional Neural Networks(CNN)
can achieve comparable performance to the two-step machine learning
approaches.
In this paper we propose a CNN that outperforms the state-ofthe-
art in terms of error probability. The proposition is in the continuity
of what has been recently proposed and it is a clever fusion

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Authors:
Frédéric COMBY , Marc CHAUMONT
Submitted On:
12 April 2018 - 11:57am
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ICASSP -final.pdf

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[1] Frédéric COMBY , Marc CHAUMONT, "Yedrouj-Net: An efficient CNN for spatial steganalysis Results Conclusions • An efficient approach based on deep learning (CNN) for steganalysis. • Our method outperforms the state-of-the-art and others CNN-based models with and without taking extra measu", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2424. Accessed: Nov. 12, 2018.
@article{2424-18,
url = {http://sigport.org/2424},
author = {Frédéric COMBY ; Marc CHAUMONT },
publisher = {IEEE SigPort},
title = {Yedrouj-Net: An efficient CNN for spatial steganalysis Results Conclusions • An efficient approach based on deep learning (CNN) for steganalysis. • Our method outperforms the state-of-the-art and others CNN-based models with and without taking extra measu},
year = {2018} }
TY - EJOUR
T1 - Yedrouj-Net: An efficient CNN for spatial steganalysis Results Conclusions • An efficient approach based on deep learning (CNN) for steganalysis. • Our method outperforms the state-of-the-art and others CNN-based models with and without taking extra measu
AU - Frédéric COMBY ; Marc CHAUMONT
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2424
ER -
Frédéric COMBY , Marc CHAUMONT. (2018). Yedrouj-Net: An efficient CNN for spatial steganalysis Results Conclusions • An efficient approach based on deep learning (CNN) for steganalysis. • Our method outperforms the state-of-the-art and others CNN-based models with and without taking extra measu. IEEE SigPort. http://sigport.org/2424
Frédéric COMBY , Marc CHAUMONT, 2018. Yedrouj-Net: An efficient CNN for spatial steganalysis Results Conclusions • An efficient approach based on deep learning (CNN) for steganalysis. • Our method outperforms the state-of-the-art and others CNN-based models with and without taking extra measu. Available at: http://sigport.org/2424.
Frédéric COMBY , Marc CHAUMONT. (2018). "Yedrouj-Net: An efficient CNN for spatial steganalysis Results Conclusions • An efficient approach based on deep learning (CNN) for steganalysis. • Our method outperforms the state-of-the-art and others CNN-based models with and without taking extra measu." Web.
1. Frédéric COMBY , Marc CHAUMONT. Yedrouj-Net: An efficient CNN for spatial steganalysis Results Conclusions • An efficient approach based on deep learning (CNN) for steganalysis. • Our method outperforms the state-of-the-art and others CNN-based models with and without taking extra measu [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2424

A watermarking technique to secure printed QR-Codes


The QR (Quick Response) code is a two-dimensional barcode, which was designed for storage information and high speed reading applications. Being cheap to produce and fast to read, it becomes actually a popular solution for product labeling.
Ones try to make QR code a solution against counterfeiting. We present a novel technique that permits to create a secure printed QR code which is robust

Paper Details

Authors:
Hoai Phuong Nguyen, Angès Delahaies, Florent Retraint, Dục Huy Nguyen, Marc Pic, Frédéric Morain-Nicolier
Submitted On:
14 November 2017 - 9:39pm
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poster-final.pdf

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poster-final.pdf

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[1] Hoai Phuong Nguyen, Angès Delahaies, Florent Retraint, Dục Huy Nguyen, Marc Pic, Frédéric Morain-Nicolier, "A watermarking technique to secure printed QR-Codes", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2266. Accessed: Nov. 12, 2018.
@article{2266-17,
url = {http://sigport.org/2266},
author = {Hoai Phuong Nguyen; Angès Delahaies; Florent Retraint; Dục Huy Nguyen; Marc Pic; Frédéric Morain-Nicolier },
publisher = {IEEE SigPort},
title = {A watermarking technique to secure printed QR-Codes},
year = {2017} }
TY - EJOUR
T1 - A watermarking technique to secure printed QR-Codes
AU - Hoai Phuong Nguyen; Angès Delahaies; Florent Retraint; Dục Huy Nguyen; Marc Pic; Frédéric Morain-Nicolier
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2266
ER -
Hoai Phuong Nguyen, Angès Delahaies, Florent Retraint, Dục Huy Nguyen, Marc Pic, Frédéric Morain-Nicolier. (2017). A watermarking technique to secure printed QR-Codes. IEEE SigPort. http://sigport.org/2266
Hoai Phuong Nguyen, Angès Delahaies, Florent Retraint, Dục Huy Nguyen, Marc Pic, Frédéric Morain-Nicolier, 2017. A watermarking technique to secure printed QR-Codes. Available at: http://sigport.org/2266.
Hoai Phuong Nguyen, Angès Delahaies, Florent Retraint, Dục Huy Nguyen, Marc Pic, Frédéric Morain-Nicolier. (2017). "A watermarking technique to secure printed QR-Codes." Web.
1. Hoai Phuong Nguyen, Angès Delahaies, Florent Retraint, Dục Huy Nguyen, Marc Pic, Frédéric Morain-Nicolier. A watermarking technique to secure printed QR-Codes [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2266

A NEW BLIND COLOR IMAGE WATERMARKING BASED ON A PSYCHOVISUAL MODEL AND QUANTIZATION APPROACHES

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16 September 2017 - 5:40am
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slides_lefevre_pascal_icip2017.pdf

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[1] , "A NEW BLIND COLOR IMAGE WATERMARKING BASED ON A PSYCHOVISUAL MODEL AND QUANTIZATION APPROACHES", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2186. Accessed: Nov. 12, 2018.
@article{2186-17,
url = {http://sigport.org/2186},
author = { },
publisher = {IEEE SigPort},
title = {A NEW BLIND COLOR IMAGE WATERMARKING BASED ON A PSYCHOVISUAL MODEL AND QUANTIZATION APPROACHES},
year = {2017} }
TY - EJOUR
T1 - A NEW BLIND COLOR IMAGE WATERMARKING BASED ON A PSYCHOVISUAL MODEL AND QUANTIZATION APPROACHES
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2186
ER -
. (2017). A NEW BLIND COLOR IMAGE WATERMARKING BASED ON A PSYCHOVISUAL MODEL AND QUANTIZATION APPROACHES. IEEE SigPort. http://sigport.org/2186
, 2017. A NEW BLIND COLOR IMAGE WATERMARKING BASED ON A PSYCHOVISUAL MODEL AND QUANTIZATION APPROACHES. Available at: http://sigport.org/2186.
. (2017). "A NEW BLIND COLOR IMAGE WATERMARKING BASED ON A PSYCHOVISUAL MODEL AND QUANTIZATION APPROACHES." Web.
1. . A NEW BLIND COLOR IMAGE WATERMARKING BASED ON A PSYCHOVISUAL MODEL AND QUANTIZATION APPROACHES [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2186

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