.png){kind=icon}
.png){kind=icon}
Return
Achieving Image Encryption Quantum Dot-Functionalized Encryption Camera with Designed Films
.png){kind=icon}
OA
AI
DOI：10.1002/advs.202405667.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The 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. The in situ image encryption is achieved through the design of quantum dots (QD) films, which involves reducing size, increasing color, and expanding full width at half maximum (FWHM) to modify the correlation between captured images and eliminate spatial redundancy. It provides a universal, efficient, and effective in situ image encryption method compared to other commonly symmetric encryption methods. image
Keywords:
camera
correlation
design QD films
image encryption
spatial redundancy
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
14.1
Papers:
1.7W
Citations:
11.5W