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Achieving Image Encryption Quantum Dot‐Functionalized Encryption Camera with Designed Films
https://orcid.org/0000-0002-2662-7472
AbstractThe risk of information leaks increases as images become a crucial medium for information sharing. There is a great need to further develop the versatility of image encryption technology to protect confidential and sensitive information. Herein, using high spatial redundancy (strong correlation of neighboring pixels) of the image and the in situ encryption function of a quantum dot functionalized encryption camera, in situ image encryption is achieved by designing quantum dot films (size, color, and full width at half maximum) to modify the correlation and reduce spatial redundancy of the captured image during encryption processing. The correlation coefficients of simulated encrypted image closely apporach to 0. High‐quality decrypted images are achieved with a PSNR of more than 35 dB by a convolutional neural network‐based algorithm that meets the resolution requirements of human visual perception. Compared with the traditional image encryption algorithms, chaotic image encryption algorithms and neural network‐based encryption algorithms described previously, it provides a universal, efficient and effective in situ image encryption method.
Achieving Image Encryption Quantum Dot‐Functionalized Encryption Camera with Designed Films
https://orcid.org/0000-0002-2662-7472
AbstractThe risk of information leaks increases as images become a crucial medium for information sharing. There is a great need to further develop the versatility of image encryption technology to protect confidential and sensitive information. Herein, using high spatial redundancy (strong correlation of neighboring pixels) of the image and the in situ encryption function of a quantum dot functionalized encryption camera, in situ image encryption is achieved by designing quantum dot films (size, color, and full width at half maximum) to modify the correlation and reduce spatial redundancy of the captured image during encryption processing. The correlation coefficients of simulated encrypted image closely apporach to 0. High‐quality decrypted images are achieved with a PSNR of more than 35 dB by a convolutional neural network‐based algorithm that meets the resolution requirements of human visual perception. Compared with the traditional image encryption algorithms, chaotic image encryption algorithms and neural network‐based encryption algorithms described previously, it provides a universal, efficient and effective in situ image encryption method.
Achieving Image Encryption Quantum Dot‐Functionalized Encryption Camera with Designed Films
https://orcid.org/0000-0002-2662-7472
AbstractThe risk of information leaks increases as images become a crucial medium for information sharing. There is a great need to further develop the versatility of image encryption technology to protect confidential and sensitive information. Herein, using high spatial redundancy (strong correlation of neighboring pixels) of the image and the in situ encryption function of a quantum dot functionalized encryption camera, in situ image encryption is achieved by designing quantum dot films (size, color, and full width at half maximum) to modify the correlation and reduce spatial redundancy of the captured image during encryption processing. The correlation coefficients of simulated encrypted image closely apporach to 0. High‐quality decrypted images are achieved with a PSNR of more than 35 dB by a convolutional neural network‐based algorithm that meets the resolution requirements of human visual perception. Compared with the traditional image encryption algorithms, chaotic image encryption algorithms and neural network‐based encryption algorithms described previously, it provides a universal, efficient and effective in situ image encryption method.
Achieving Image Encryption Quantum Dot‐Functionalized Encryption Camera with Designed Films
Advanced Science
Li, Xue (Autor:in) / Zhang, Tao (Autor:in) / Liu, Mingriu (Autor:in) / Fu, Ying (Autor:in) / Zhong, Haizheng (Autor:in)
Advanced Science ; 11
01.10.2024
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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