Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Yuhen Hu"'
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12655 (2023)
Unsupervised anomaly detection models are crucial for the efficiency of industrial applications. However, frequent false alarms hinder the widespread adoption of unsupervised anomaly detection, especially in fault detection tasks. To this end, our re
Externí odkaz:
https://doaj.org/article/28a6ae7a61c6437296a7200bbd77c3de
Publikováno v:
Sensors, Vol 23, Iss 23, p 9360 (2023)
Unsupervised defect detection methods have garnered substantial attention in industrial defect detection owing to their capacity to circumvent complex fault sample collection. However, these models grapple with establishing a robust boundary between
Externí odkaz:
https://doaj.org/article/0ae7abac03594046966bdd97c63f48d4
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6053-6068 (2022)
Generative adversarial networks (GANs) have achieved many excellent results in hyperspectral image (HSI) classification in recent years, as GANs can effectively solve the dilemma of limited training samples in HSI classification. However, due to the
Externí odkaz:
https://doaj.org/article/c708da1d554649db91c714866ed290d4
Publikováno v:
IEEE Photonics Journal, Vol 13, Iss 3, Pp 1-16 (2021)
In this paper, a multi-image encryption scheme based on compressed sensing (CS) and deep learning in the optical gyrator domain is proposed. Firstly, multiple plaintext images are compressed by CS to obtain multiple measurements, and then the pixels
Externí odkaz:
https://doaj.org/article/cb668ca10c1e417ea7f7ccfd3dcacdd6
Publikováno v:
IEEE Access, Vol 8, Pp 187419-187430 (2020)
The asymmetric optical cryptosystems have been widely concerned due to their prominent characteristics of high security and robustness against attacks. In this paper, a resolution adaptative network is proposed to attack the asymmetric optical crypto
Externí odkaz:
https://doaj.org/article/879109b09c0c4833b0f7555d56ce3b79
Publikováno v:
IEEE Access, Vol 7, Pp 78367-78378 (2019)
In this paper, a color image encryption is proposed based on the dynamic DNA and the 4-D memristive hyper-chaos. First, chaotic matrices are generated from the 4-D memristive hyper-chaos by using the plain image, the salt key, and control parameters.
Externí odkaz:
https://doaj.org/article/3b3a377dccb5406db933075b381a8707
Asymmetric Cryptosystem Using Improved Equal Modulus Decomposition in Cylindrical Diffraction Domain
Publikováno v:
IEEE Access, Vol 7, Pp 66234-66241 (2019)
We present a simple and efficient asymmetric cryptosystem using an improved equal modulus decomposition (EMD) in the cylindrical diffraction domain. Being different from a cryptosystem based on the conventional EMD, whose outputs are complex-valued,
Externí odkaz:
https://doaj.org/article/774c84602cec49588bd9ad99bd1b0ae5
Publikováno v:
IEEE Photonics Journal, Vol 10, Iss 3, Pp 1-14 (2018)
An image compression and encryption method integrating compressive sensing (CS) and Detour Cylindrical-diffraction-based double Random-phase Encoding (DCRE) is proposed. The plaintext image is first compressed by CS and then encrypted by the DCRE alg
Externí odkaz:
https://doaj.org/article/196c849314d8475e96304d756fd9163a
Publikováno v:
IEEE Access, Vol 6, Pp 53976-53983 (2018)
Recently, color image encryption has attracted extensive research interests. However, challenging issues, such as linearity, complex-valued output, and information disclosure, remain. To address these issues, we propose an asymmetric color image cryp
Externí odkaz:
https://doaj.org/article/ca3b12db200947c09b697226ba26ac81
Publikováno v:
Sensors, Vol 15, Iss 8, Pp 19880-19911 (2015)
Reliable data transmission over lossy communication link is expensive due to overheads for error protection. For signals that have inherent sparse structures, compressive sensing (CS) is applied to facilitate efficient sparse signal transmissions ove
Externí odkaz:
https://doaj.org/article/0eb8d77f4db944d78593bbf3d52947d5