A fast chaotic image encryption scheme with simultaneous permutation-diffusion operation
L Liu, Y Lei, D Wang - IEEE access, 2020 - ieeexplore.ieee.org
In this paper, a secure and fast chaotic image encryption scheme with simultaneous
permutation-diffusion operation is proposed. We combine permutation and diffusion …
permutation-diffusion operation is proposed. We combine permutation and diffusion …
A simultaneous scrambling and diffusion color image encryption algorithm based on Hopfield chaotic neural network
L Liu, L Zhang, D Jiang, Y Guan, Z Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
The classic scrambling-diffusion structure for image encryption is vulnerable to be attacked.
The scrambling and diffusion process can be cracked separately due to the two processes …
The scrambling and diffusion process can be cracked separately due to the two processes …
An image encryption scheme based on hyper chaotic system and DNA with fixed secret keys
L Liu, D Wang, Y Lei - IEEE Access, 2020 - ieeexplore.ieee.org
A novel image encryption scheme combining the 5D hyper chaotic system and DNA
technology is proposed in this paper. The proposed scheme is related to the plaintext and …
technology is proposed in this paper. The proposed scheme is related to the plaintext and …
A novel face recognition method based on fusion of LBP and HOG
T Chen, T Gao, S Li, X Zhang, J Cao… - IET Image …, 2021 - Wiley Online Library
As one of the hot topics in the field of computer vision research, face recognition technology
has received significant attention due to its potentiality for a wide range of applications in …
has received significant attention due to its potentiality for a wide range of applications in …
Review of target detection technology based on deep learning
F Liang, Y Zhou, X Chen, F Liu, C Zhang… - Proceedings of the 5th …, 2021 - dl.acm.org
Target detection is one of the most important contents in computer vision, which has been
widely and effectively applied in production, daily life, and military. The target detection …
widely and effectively applied in production, daily life, and military. The target detection …
A novel UAV sensing image defogging method
Imaging of unmanned aerial vehicle easily suffer from haze, resulting in decline in the
quality of required remote sensing images. The influence brings great challenges in later …
quality of required remote sensing images. The influence brings great challenges in later …
Keyframe extraction from laparoscopic videos via diverse and weighted dictionary selection
Laparoscopic videos have been increasingly acquired for various purposes including
surgical training and quality assurance, due to the wide adoption of laparoscopy in …
surgical training and quality assurance, due to the wide adoption of laparoscopy in …
Rotation-invariant feature learning for object detection in VHR optical remote sensing images by double-net
Rotation-invariant feature extraction is crucial for object detection in Very High Resolution
(VHR) optical remote sensing images. Although convolutional neural networks (CNNs) are …
(VHR) optical remote sensing images. Although convolutional neural networks (CNNs) are …
DLSANet: Facial expression recognition with double‐code LBP‐layer spatial‐attention network
Facial expression recognition (FER) is widely used in many fields. To further improve the
accuracy of FER, this paper proposes a method based on double‐code LBP‐layer spatial …
accuracy of FER, this paper proposes a method based on double‐code LBP‐layer spatial …
A plaintext-related dynamical image encryption algorithm based on permutation-combination-diffusion architecture
L Liu, D Jiang, T An, Y Guan - IEEE access, 2020 - ieeexplore.ieee.org
In this paper, a novel high security plaintext-related dynamical image encryption algorithm is
proposed. Compared with the classical permutation-diffusion encryption architecture, we …
proposed. Compared with the classical permutation-diffusion encryption architecture, we …