Multiple-image hiding using super resolution reconstruction in high-frequency domains
| Autor: | Jun Wang, Wu-Xiang Zhao, Qiong-Hua Wang, Xiaowei Li |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Multiple image
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology 01 natural sciences 010309 optics symbols.namesake 020210 optoelectronics & photonics Optics Robustness (computer science) Computer Science::Multimedia 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Physical and Theoretical Chemistry Computer Science::Cryptography and Security Integral imaging business.industry Reconstruction algorithm Superresolution Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Gaussian noise Computer Science::Computer Vision and Pattern Recognition symbols business Algorithm |
| Zdroj: | Optics Communications. 404:147-154 |
| ISSN: | 0030-4018 |
| DOI: | 10.1016/j.optcom.2017.06.014 |
| Popis: | In this paper, a robust multiple-image hiding method using the computer-generated integral imaging and the modified super-resolution reconstruction algorithm is proposed. In our work, the host image is first transformed into frequency domains by cellular automata (CA), to assure the quality of the stego-image, the secret images are embedded into the CA high-frequency domains. The proposed method has the following advantages: (1) robustness to geometric attacks because of the memory-distributed property of elemental images, (2) increasing quality of the reconstructed secret images as the scheme utilizes the modified super-resolution reconstruction algorithm. The simulation results show that the proposed multiple-image hiding method outperforms other similar hiding methods and is robust to some geometric attacks, e.g., Gaussian noise and JPEG compression attacks. |
| Databáze: | OpenAIRE |
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