scholarly journals Reversible image authentication scheme with blind content reconstruction based on compressed sensing

Author(s):  
G. Melendez-Melendez ◽  
R. Cumplido
2014 ◽  
Vol 6 (3) ◽  
pp. 30-46
Author(s):  
Jia-Hong Li ◽  
Tzung-Her Chen ◽  
Wei-Bin Lee

Image authentication must be able to verify the origin and the integrity of digital images, and some research has made efforts in that. In this paper, we reveal a new type of malicious alteration which we call the “Tattooing Attack”. It can successfully alter the protected image if the collision of the authentication bits corresponding to the altered image and the original watermarking image can be found. To make our point, we chose Chang et al.'s image authentication scheme based on watermarking techniques for tampering detection as an example. The authors will analyze the reasons why the attack is successful, and then they delineate the conditions making the attack possible. Since the result can be generally applied into other schemes, the authors evaluate such schemes to examine the soundness of these conditions. Finally, a solution is provided for all tamper detection schemes suffering from the Tattooing Attack.


2011 ◽  
Vol 34 (5) ◽  
pp. 1557-1565 ◽  
Author(s):  
Guangjie Liu ◽  
Junwen Wang ◽  
Shiguo Lian ◽  
Zhiquan Wang

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 149515-149526 ◽  
Author(s):  
Chih-Cheng Chen ◽  
Chin-Chen Chang ◽  
Chia-Chen Lin ◽  
Guo-Dong Su

2015 ◽  
Vol 738-739 ◽  
pp. 533-537
Author(s):  
Xu Zhan ◽  
Yue Rong Lei ◽  
Hui Ming Zeng ◽  
Jian Ling Chen

In this paper, we study compressed sensing algorithm and image authentication algorithm, present a grayscale image vulnerability authentication system based on compressed sensing. The system extracts the original grayscale image edge information by prewitt algorithm and observes the edge information by compressed sensing algorithm of OMP to generate the observation matrix . Then, the system scrambles the observation matrix by arnold transform algorithm and embeds it into the original grayscale image by singular value decomposition algorithm. We make experiment in order to test the system. The result is shown that the algorithm has good imperceptibility and can resist copying attack.


Author(s):  
Mona A. M. Fouad ◽  
Ahmed Mokhtar A. Mansour

2016 ◽  
Vol 62 ◽  
pp. 92-103 ◽  
Author(s):  
Yu-Chen Hu ◽  
Chun-Chi Lo ◽  
Wu-Lin Chen

2014 ◽  
Vol 74 (18) ◽  
pp. 7729-7752 ◽  
Author(s):  
Di Xiao ◽  
Mimi Deng ◽  
Xinyi Zhu

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