A novel three-dimensional digital watermarking scheme basing on integral imaging

2007 ◽  
Vol 277 (1) ◽  
pp. 40-49 ◽  
Author(s):  
Dong-Choon Hwang ◽  
Dong-Hak Shin ◽  
Eun-Soo Kim
Keyword(s):  
Digital Watermarking ◽  
Three Dimensional ◽  
Integral Imaging ◽  
Watermarking Scheme

A robust digital watermarking scheme by use of integral imaging technique

2007 ◽  
Author(s):  
Dong-Choon Hwang ◽  
Hee-Ju Lee ◽  
Dong-Hak Shin ◽  
Eun-Soo Kim
Keyword(s):  
Digital Watermarking ◽  
Imaging Technique ◽  
Integral Imaging ◽  
Watermarking Scheme

An Improved Security 3D Watermarking Method Using Computational Integral Imaging Cryptosystem

2016 ◽  
Vol 12 (2) ◽  
pp. 1-21 ◽  
Author(s):  
Yiqun Liu ◽  
Xiaorui Wang ◽  
Jianqi Zhang ◽  
Minqing Zhang ◽  
Peng Luo ◽  
...  
Keyword(s):  
Digital Watermarking ◽  
Imaging System ◽  
Three Dimensional ◽  
Discrete Wavelet ◽  
Integral Imaging ◽  
Visual Model ◽  
Computational Integral Imaging ◽  
3D Watermarking ◽  
Display Quality ◽  
Human Visual Model

Robustness and security are difficult to be solved by conventional two-dimensional (2D) digital watermarking technology. In recent years, three-dimensional (3D) digital watermarking has become a new hotspot in optical information security. This paper presents a new improved security 3D digital watermarking method based on computational integrated imaging cryptosystem. Firstly, 3D digital watermarking is generated and encrypted by computational integral imaging cryptosystem that is implemented with smart pseudoscopic-to-orthoscopic conversion (SPOC) model. Secondly, discrete wavelet transform algorithm is applied to embed and extract the 3D digital watermarking. Finally, the extracted watermark is decrypted, and3D digital watermarking is displayed by integral imaging system. The feasibility and effectiveness of the proposed method is demonstrated by experiment. A primary implication of encrypted processing is that the majority of integral imaging cryptosystem will be encryption-in-the-loop applications, and the majority of system will improve the security and robustness of 3D digital watermarking. The new method is able to meet the requirements of robustness and security. Image quality and display quality achieve these criterions of the human visual model. The proposed method can be applied in the aspects of cloud computing and big data.

An Improved Security 3D Watermarking Method Using Computational Integral Imaging Cryptosystem

2018 ◽  
pp. 567-587
Author(s):  
Yiqun Liu ◽  
Xiaorui Wang ◽  
Jianqi Zhang ◽  
Minqing Zhang ◽  
Peng Luo ◽  
...  
Keyword(s):  
Digital Watermarking ◽  
Imaging System ◽  
Three Dimensional ◽  
Discrete Wavelet ◽  
Integral Imaging ◽  
Visual Model ◽  
Computational Integral Imaging ◽  
3D Watermarking ◽  
Display Quality ◽  
Human Visual Model

Robustness and security are difficult to be solved by conventional two-dimensional (2D) digital watermarking technology. In recent years, three-dimensional (3D) digital watermarking has become a new hotspot in optical information security. This paper presents a new improved security 3D digital watermarking method based on computational integrated imaging cryptosystem. Firstly, 3D digital watermarking is generated and encrypted by computational integral imaging cryptosystem that is implemented with smart pseudoscopic-to-orthoscopic conversion (SPOC) model. Secondly, discrete wavelet transform algorithm is applied to embed and extract the 3D digital watermarking. Finally, the extracted watermark is decrypted, and3D digital watermarking is displayed by integral imaging system. The feasibility and effectiveness of the proposed method is demonstrated by experiment. A primary implication of encrypted processing is that the majority of integral imaging cryptosystem will be encryption-in-the-loop applications, and the majority of system will improve the security and robustness of 3D digital watermarking. The new method is able to meet the requirements of robustness and security. Image quality and display quality achieve these criterions of the human visual model. The proposed method can be applied in the aspects of cloud computing and big data.

Evaluvation of Multiresolution Watermarking Algorithm

2017 ◽  
Vol 7 (8) ◽  
pp. 85
Author(s):  
S. Thabasu Kannan ◽  
S. Azhagu Senthil
Keyword(s):  
Digital Watermarking ◽  
Wavelet Transformation ◽  
Signal To Noise Ratio ◽  
Rapid Development ◽  
Threshold Value ◽  
Discrete Wavelet ◽  
Digital Production ◽  
Common Framework ◽  
Sampling Operation ◽  
Watermarking Scheme

Now-a-days watermarking plays a pivotal role in most of the industries for providing security to their own as well as hired or leased data. This paper its main aim is to study the multiresolution watermarking algorithms and also choosing the effective and efficient one for improving the resistance in data compression. Computational savings from such a multiresolution watermarking framework is obvious. The multiresolutional property makes our watermarking scheme robust to image/video down sampling operation by a power of two in either space or time. There is no common framework for multiresolutional digital watermarking of both images and video. A multiresolution watermarking based on the wavelet transformation is selected in each frequency band of the Discrete Wavelet Transform (DWT) domain and therefore it can resist the destruction of image processing.   The rapid development of Internet introduces a new set of challenging problems regarding security. One of the most significant problems is to prevent unauthorized copying of digital production from distribution. Digital watermarking has provided a powerful way to claim intellectual protection. We proposed an idea for enhancing the robustness of extracted watermarks. Watermark can be treated as a transmitted signal, while the destruction from attackers is regarded as a noisy distortion in channel.  For the implementation, we have used minimum nine coordinate positions. The watermarking algorithms to be taken for this study are Corvi algorithm and Wang algorithm. In all graph, we have plotted X axis as peak signal to noise ratio (PSNR) and y axis as Correlation with original watermark. The threshold value ά is set to 5. The result is smaller than the threshold value then it is feasible, otherwise it is not.

scholarly journals Full-chain modeling and performance analysis of integral imaging three-dimensional display system

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Ying Yuan ◽  
Xiaorui Wang ◽  
Yang Yang ◽  
Hang Yuan ◽  
Chao Zhang ◽  
...  
Keyword(s):  
Optimization Design ◽  
Quality Evaluation ◽  
Light Field ◽  
Three Dimensional ◽  
Display System ◽  
3D Display ◽  
Performance Characterization ◽  
Integral Imaging ◽  
Characterization Model ◽  
Display Quality

Abstract The full-chain system performance characterization is very important for the optimization design of an integral imaging three-dimensional (3D) display system. In this paper, the acquisition and display processes of 3D scene will be treated as a complete light field information transmission process. The full-chain performance characterization model of an integral imaging 3D display system is established, which uses the 3D voxel, the image depth, and the field of view of the reconstructed images as the 3D display quality evaluation indicators. Unlike most of the previous research results using the ideal integral imaging model, the proposed full-chain performance characterization model considering the diffraction effect and optical aberration of the microlens array, the sampling effect of the detector, 3D image data scaling, and the human visual system, can accurately describe the actual 3D light field transmission and convergence characteristics. The relationships between key parameters of an integral imaging 3D display system and the 3D display quality evaluation indicators are analyzed and discussed by the simulation experiment. The results will be helpful for the optimization design of a high-quality integral imaging 3D display system.

Advances in three-dimensional integral imaging: sensing, display, and applications [Invited]

2013 ◽  
Vol 52 (4) ◽  
pp. 546 ◽  
Author(s):  
Xiao Xiao ◽  
Bahram Javidi ◽  
Manuel Martinez-Corral ◽  
Adrian Stern
Keyword(s):  
Three Dimensional ◽  
Integral Imaging ◽  
Dimensional Integral

A Digital Watermarking Scheme Based on DCT and SVD

2007 ◽  
Author(s):  
Zhe-Ming Lu ◽  
Hong-Yi Zheng ◽  
Ji-Wu Huang
Keyword(s):  
Digital Watermarking ◽  
Watermarking Scheme
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