Fault tolerance properties of a double phase encoding encryption technique
| Autor: | Bahram Javidi, Arnaud Sergent, Laurent Guibert, Guanshen Zhang |
|---|---|
| Rok vydání: | 1997 |
| Předmět: |
Image quality
business.industry Computer science Data_MISCELLANEOUS ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION General Engineering Filter (signal processing) White noise Encryption Atomic and Molecular Physics and Optics symbols.namesake Fourier transform Robustness (computer science) Computer Science::Computer Vision and Pattern Recognition Computer Science::Multimedia symbols Image noise Computer vision Artificial intelligence business Image restoration Linear filter Computer Science::Cryptography and Security Data compression |
| Zdroj: | Optical Engineering. 36:992 |
| ISSN: | 0091-3286 |
| DOI: | 10.1117/1.601144 |
| Popis: | We investigate the robustness of an image encryption technique that uses random phase encoding in both the input plane and the Fourier plane when the encrypted image has been distorted. The distortions include different types of noise, loss of encrypted data, and the binarization of the encrypted image. It is shown that decryption transforms the noise added to the encrypted image to a wide-sense stationary additive white noise. Consequently, regardless of the type of the noise added to the encrypted image, the quality of the recovered image can be improved by processing techniques designed for filtering out additive white noise. The double-phase encryption technique distributes the input image over the entire output plane, which provides robustness to the distortions due to loss of encrypted data. Regarding the binarization, it enables easy implementation and data compression while recovering images of good quality may be possible. |
| Databáze: | OpenAIRE |
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