Article
Multidisciplinary Sciences
Tieyu Zhao, Yingying Chi
Summary: The study introduced the multiple-parameter fractional Fourier transform (MPFRFT) as an image encryption algorithm, but found many of its keys to be invalid, reducing security. By reformulating the MPFRFT and analyzing using different basis functions, it was discovered that the effective keys were extremely limited, highlighting the security risk of key invalidation in extended encryption methods based on MPFRFT.
Article
Computer Science, Information Systems
Vandana Guleria, Yashavant Kumar, D. C. Mishra
Summary: We introduce a novel image encryption and decryption algorithm that incorporates multiple parameter fractional discrete cosine transform (MPFrDCT), 3D Arnold transform, and RSA cryptosystem. By converting the images into indexed formats and applying permutation and encryption, the algorithm ensures the security of the images in the public domain.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Guosheng Gu, Huihong Lu, Jiehang Deng, Hao Wang, Haomin Wei, Jie Ling
Summary: This paper proposes a synergetic encryption algorithm that combines DFrRT and chaotic maps to overcome the linear flaw in the original DFrRT. The experimental results show that the algorithm has better cryptographic performances in multiple aspects.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Optics
Yuexi Peng, Zixin Lan, Kehui Sun, Wei Xu
Summary: Chaotic maps are commonly used in image encryption, but many of them have limited chaotic ranges. To address this issue, a new chaotic map is proposed by combining modular sinusoidal discrete memristor and classical sine map. An image encryption algorithm is developed based on this new chaotic map, which allows controlling the encryption time by adjusting the block size. The algorithm consists of random-cross permutation and alternate-plane diffusion, which shuffle the pixels and process the image using chaotic sequences, respectively. Simulation experiments and performance analysis demonstrate the effectiveness and reliability of the proposed encryption algorithm.
OPTICS AND LASER TECHNOLOGY
(2023)
Article
Mathematics, Interdisciplinary Applications
Vandana Guleria, D. C. Mishra
Summary: This paper investigates the security of multiple images based on affine hill cipher, fractional discrete cosine transform, and Arnold transform. The proposed scheme assures security in time domain, frequency domain, and coordinate domain, with the original images recoverable through proper arrangements of secret keys. The encryption of the images simplifies storage and transmission, and computer simulations have proven the robustness of the approach on standard examples.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2021)
Article
Chemistry, Analytical
Nayeem Hasan, Md Saiful Islam, Wenyu Chen, Muhammad Ashad Kabir, Saad Al-Ahmadi
Summary: The paper proposes an encryption-based image watermarking scheme using 2DWT and DCT, which demonstrates high robustness and quality of reconstruction.
Article
Chemistry, Multidisciplinary
Francesco Castro, Donato Impedovo, Giuseppe Pirlo
Summary: Secure transmission of medical images and data is crucial for healthcare systems, and digital watermarking can ensure visual security but is vulnerable to white-box attacks. A visually secure image encryption scheme has been proposed to embed encrypted medical images, physician's fingerprint, and patient health records into a non-significant image. Chaotic encryption algorithm and hybrid asymmetric cryptography based on ECC and AES are utilized for encryption and protection. Simulations show that this scheme achieves higher visual security and medical image quality compared to other encryption approaches.
APPLIED SCIENCES-BASEL
(2023)
Article
Optics
Lina Zhou, Yin Xiao, Zilan Pan, Yonggui Cao, Wen Chen
Summary: A new scheme based on SIMO and AOHs is proposed in this paper, which can retrieve a large number of different secret images from one single host image during optical retrieval, while reducing optical implementation complexity.
Article
Engineering, Electrical & Electronic
Yadong Tang, Zhuhong Shao, Xiaoxu Zhao, Yuanyuan Shang
Summary: This paper proposes an encryption algorithm for multiple color images based on discrete Fourier transforms and logistic-exponent-sine map. Through block-wise processing and random multi-resolution singular value decomposition, the randomness of the encrypted result is enhanced. Numerical simulations show that the algorithm produces high-quality decrypted images with high PSNR values, and demonstrates good sensitivity to pixel changes and intensity changes.
SIGNAL PROCESSING-IMAGE COMMUNICATION
(2021)
Article
Engineering, Electrical & Electronic
Xilin Liu, Yongfei Wu, Hao Zhang, Jiasong Wu, Liming Zhang
Summary: This paper extends the traditional discrete fractional Krawtchouk transform with quaternion theory to quaternion discrete fractional Krawtchouk transform for color image processing. Detailed mathematical derivation, definition, and properties of quaternion algebra are provided. Experimental results demonstrate the effectiveness and efficiency of the proposed method in color image encryption and watermarking.
Article
Computer Science, Information Systems
Lidong Liu, Donghua Jiang, Xingyuan Wang, Xianwei Rong, Renxiu Zhang
Summary: A new two-dimensional chaotic map, 2D-LACM, is proposed in this paper, which is then used for an image encryption algorithm. Experimental and analytical results demonstrate its good security performance.
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS
(2021)
Article
Physics, Multidisciplinary
Yaghoub Pourasad, Ramin Ranjbarzadeh, Abbas Mardani
Summary: Image encryption using chaotic methods is a novel and highly-secured technique. This paper proposed a digital image encryption technique based on chaotic sequences and wavelet transform to improve previous algorithms. The effectiveness of the proposed scheme was verified through simulation and theoretical analysis, making it a suitable choice for practical image encryption.
Article
Computer Science, Information Systems
Omar El Ogri, Hicham Karmouni, Mhamed Sayyouri, Hassan Qjidaa
Summary: One major application of the fractional-order discrete transform (FrDTs) is in signal and information security, especially in signal and image/video encryption. Researchers have recently proposed techniques that implement not only the fractional transforms but also randomized versions of the FrDTs, adding more security features to signal encryption. This paper introduces a new image/video encryption scheme based on fractional-order discrete Tchebichef transform (FrDTT) using singular value decomposition, showing promising results in terms of effectiveness and efficiency.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Ahmed Khan
Summary: The study proposes a hybrid image watermarking scheme that integrates various technologies for watermark embedding and protection, showing high imperceptibility and robustness.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Optics
Muhammad Rafiq Abuturab, Ayman Alfalou
Summary: A new method for multiple color image fusion, compression, and encryption using compressive sensing, chaotic-biometric keys, and optical fractional Fourier transform is proposed in this paper. The proposed cryptosystem has advantages of reduced data storage, uniqueness of biometric keys in CBPMs, very sensitive orders of the FrFT, and a single-channel hybrid optoelectronic setup.
OPTICS AND LASER TECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Xishun Zhu, Zhengliang Lai, Yaru Liang, Jianping Xiong, Jianhua Wu
Summary: This paper proposes a generative image hiding algorithm based on residual convolutional neural network (ResCNN) in the wavelet domain to overcome the low hiding capacity and weak security measures of current hiding algorithms. The proposed algorithm effectively embeds high-frequency features of a secret image into a carrier image, leading to state-of-the-art results in terms of hiding capacity and security.
APPLIED SOFT COMPUTING
(2022)
Article
Computer Science, Information Systems
Bing Zhang, Jizhong Liu, Jianhua Wu
Summary: This research proposes a novel ECG biometric method called Label Consistent Non-negative Representation (LCNR) for ECG classification. The method utilizes non-negative constrained least squares model and blockwise coordinate descent algorithm, and achieves superior performance in experiments.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Optics
Jianhua Wu, Zhengliang Lai, Xishun Zhu
Summary: This paper presents an image hiding algorithm based on GFR-Net, which hides multiple color secret images in a single color carrier image. The proposed algorithm has good performance in terms of payload and security.
JOURNAL OF MODERN OPTICS
(2022)
Article
Medicine, Research & Experimental
Fei Guo, Xishun Zhu, Zhiheng Wu, Li Zhu, Jianhua Wu, Fan Zhang
Summary: This study used machine learning and deep learning techniques to classify and predict the prognosis of sepsis patients. The results showed that coagulation abnormalities were associated with poor outcomes in sepsis patients. The study suggested that appropriate anticoagulation treatment may improve the survival rate of sepsis patients.
JOURNAL OF TRANSLATIONAL MEDICINE
(2022)
Article
Mathematics
Xishun Zhu, Zhengliang Lai, Nanrun Zhou, Jianhua Wu
Summary: This paper introduces a new steganography algorithm Resen-Hi-Net, which combines the advantages of image encryption and image hiding, can achieve both image encryption and image hiding, and has the ability to resist attacks.
Article
Computer Science, Artificial Intelligence
Zhengliang Lai, Xishun Zhu, Jianhua Wu
Summary: This paper proposes a deep learning-based image steganalysis algorithm that can simultaneously detect and extract hidden information.
APPLIED SOFT COMPUTING
(2022)
Article
Computer Science, Artificial Intelligence
Chen Guo, Xumin Kang, Jianping Xiong, Jianhua Wu
Summary: In this paper, a new hybrid time series forecasting model based on CEEMDAN and TCN is proposed. The model shows better performance in decomposing time series data and obtaining accurate predictions, as evidenced by experimental results.
NEURAL PROCESSING LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Nan-Run Zhou, Tian-Feng Zhang, Xin-Wen Xie, Jun-Yun Wu
Summary: It has been reported that Quantum Generative Adversarial Networks (QGANs) have a potential exponential advantage over classical Generative Adversarial Networks (GANs). However, the limitation of current quantum devices makes it difficult for quantum machine learning to find practical applications in the near future. To address this, the structure of the quantum generator is optimized to reduce parameters and leverage quantum devices effectively. An image generation scheme based on QGANs is proposed and validated on Bars and Stripes dataset, showing that the optimized quantum generator maintains performance without visible losses. Furthermore, the feasibility of the proposed scheme is demonstrated by successfully generating MNIST and Fashion-MNIST images using the optimized quantum generator and remapping method.
SIGNAL PROCESSING-IMAGE COMMUNICATION
(2023)
Article
Optics
Shui-Yuan Huang, Wan-Jia An, De-Shun Zhang, Nan-Run Zhou
Summary: Hybrid quantum and classical classification algorithms have provided a new solution to the classification problem, by designing quantum convolutional filters to enhance feature extraction ability and creating a hybrid quantum-classical convolutional neural network model. The feasibility of the proposed hybrid model is tested on the classical MNIST dataset, and it is demonstrated that the hybrid model outperforms the original convolutional neural network and the quanvolutional neural network in some adversarial cases.
OPTICS COMMUNICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Zhijiang Wan, Jiachen Wan, Wangxinjun Cheng, Junqi Yu, Yiqun Yan, Hai Tan, Jianhua Wu
Summary: Traditional fundus image-based diabetic retinopathy (DR) grading is time-consuming and depends on the examiner's experience. Wireless sensor networks (WSNs) combined with artificial intelligence (AI) can provide automatic decision-making for DR grading application. Our proposed WSN architecture and parallel deep learning framework (HybridLG) achieve automatic DR grading with superior classification performance, addressing the challenge of diagnostic accuracy in the AI model. This work guides WSNs-aided DR grading studies and supports the efficacy of AI technology in DR grading applications.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Nan-Run Zhou, Liang-Jia Tong, Wei-Ping Zou
Summary: This paper extends the traditional discrete fractional Tchebyshev transform to the quaternion algebra domain for multi-image processing using quaternion theory. A new multi-image encryption scheme based on quaternion discrete fractional Tchebyshev moment transform (QDFrTMT) and the cross-coupling chaotic system is proposed. Numerical simulations and security analyses show the effectiveness of the algorithm and its ability to resist common attacks.
Article
Computer Science, Information Systems
Zhiyong Xiao, Yongge Shi, Gailin Zhu, Jianping Xiong, Jianhua Wu
Summary: In leaf disease detection, the accuracy of recognition is crucial, and machine learning-based methods heavily depend on the size of the region of interest and the dispersion of lesions. The proposed SE-VRNet model addresses the challenge of feature extraction in leaf diseases with dispersed locations by incorporating advanced residual network and attention mechanism. The experimental results demonstrate the superiority of SE-VRNet in identifying leaf diseases with mobile devices compared to other state-of-the-art methods.
Article
Quantum Science & Technology
Yan Ma, Nan-Run Zhou
Summary: A multiple color images compression and encryption algorithm based on the generalized quantum image representation model is proposed, which combines quantum Haar wavelet transform with iterative quantum Fibonacci transform. The algorithm first permutes multiple RGB images stored with the generalized quantum image representation, and then compacts the resulting images into a single hybrid image. The hybrid image is then compressed under various compression ratios and scrambled with the generalized iterative quantum Fibonacci transform to produce a compressed image. The compressed image is XORed with a key image generated from hyper-chaotic Henon map to yield a ciphertext image. The decryption image is reconstructed from the ciphertext image using the NSL0 algorithm and reversed operations. The proposed algorithm is demonstrated to be feasible, secure, and efficient.
QUANTUM INFORMATION PROCESSING
(2023)
Article
Physics, Multidisciplinary
Nan-Run Zhou, Qiang Liao, Xiang-Fu Zou
Summary: A multi-party semi-quantum key agreement protocol is proposed based on four-qubit cluster states, which defends against eavesdropping attack from quantum center by randomly inserting confusion states. The protocol is immune to participant attack and outside attack due to the properties of entanglement states. The qubit efficiency of the protocol is higher than most existing multi-party quantum key agreement protocols when more than five participants are involved. It is demonstrated that the proposed protocol is effective and fair.
INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS
(2022)
Article
Optics
Hang Dong, Zhixin Sun, Jingyi Li, Yahui Li, Wei Zhang, Guangyong Jin
Summary: This paper calculates thermal stresses and adsorption forces to determine laser cleaning conditions and establishes relevant models. Experimental results show that the removal effect is better with increasing nanosecond pulse delay, with the best effect achieved at 600 milliseconds pulse delay. Based on the findings, the mechanisms of oxide film removal involve thermal stress against adsorption and plasma shock wave breaking the oxide layer.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Junjie Zhang, Wenjun Li, Bingtao Li, Zheng-Da Hu, Jicheng Wang, Feng Zhang, Lei Wang
Summary: A multilayer thin film device structure based on Tamm plasmons is proposed for high-performance near-infrared hot electron photodetectors. By optimizing the device structure parameters, high responsivity detection can be achieved.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Hong Huang, Zhiguang Han
Summary: This paper proposes a new ghost imaging reconstruction method using ordered orthogonal Hadamard derived speckle as the illumination speckle series, and introduces the alternating direction multiplier method to improve the imaging performance. The evaluation results show that the method can achieve high-quality reconstructed images under low sampling conditions.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Moritsugu Sakamoto, Yuki Ono, Kohei Noda, Tomoyuki Sasaki, Nobuhiro Kawatsuki, Masayuki Tanaka, Hiroshi Ono
Summary: The effect of wavelength and polarization of illuminating light in polarization imaging for birefringent objects placed behind a scattering structure was experimentally investigated. The result shows that the spatial distribution of the birefringent object was more clearly visualized in the longer wavelength combined with circularly polarized light illumination. This finding indicates the potential of using polarization imaging with circularly polarized light illumination in the near-infrared range for visualizing birefringent objects with scattering.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Peihui Du, Hongfang Wang, Pengwei Li, Rukeyemuhan Abadula, Hmbat Batelbek, Min Gao
Summary: In this study, we theoretically demonstrate the strong coupling between Tamm plasmons and exciton polaritons in metal Al/DBR-molecular structures, extending the operating wavelength to the deep ultraviolet region. The coupling strength can be effectively manipulated by adjusting the structure parameters, offering potential benefits for the development of new-style optical filters.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Priyanka Chaudhary, Akhilesh Kumar Mishra
Summary: We design and numerically investigate the switching dynamics between two outer waveguides in a parity-time (PT)-symmetric adiabatically coupled three waveguides nonlinear directional coupler (NLDC) system. The study shows that the device can provide switching even when the middle waveguide is nonlinear and the outer waveguides are linear. Furthermore, the effect of loss to gain ratio on critical switching power and the impact of launched light power and gain (loss) value on transmitted power are also studied.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Wei Feng, Yongcong Yi, Shuyang Li, Zhi Xiong, Boya Xie, Zhen Zeng
Summary: Traditional imaging techniques are ineffective in achieving clear underwater imaging due to the presence of scattering media. Single-pixel imaging (SPI) system based on Unet++ offers a solution for reconstructing high-quality images in highly turbid water environments.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Xiaorui Qu, Jufeng Zhao, Haijun Tian, Junjie Zhu, Guangmang Cui
Summary: This paper studies the structural similarity between RGB and spectral images and proposes a non-iterative Images Structure Similarity (ISS) method for fast reconstruction of spectral images. Additionally, the input of the Deep Image Prior (DIP) method is optimized for the first time by using the initial spectral data reconstructed by ISS, leading to an improved starting value for the iteration. The experimental results show that the proposed method can enhance the reconstruction quality in both spectral and spatial resolutions, while significantly reducing the reconstruction time compared to other DIP-based methods.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Donghe Sheng, Zhe Han, Zanyang Qiao, Tianpei Dong, Chenxi Wang, Huiping Tian
Summary: In this study, a distributed multi-parameter sensor based on an etched few-mode multi-core fiber is proposed, allowing simultaneous sensing of temperature, strain, and sample refractive index. By combining space division multiplexing and stimulated Brillouin scattering, the sensor achieves high sensitivity in detecting these parameters.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Dehao Chen, Zhenwu Mo, Zehong Liang, Junjie Jiang, Huilin Tang, Yidan Sun, Ziyu Wang, Quanfeng Wei, Yanru Chen, Dongmei Deng
Summary: In this study, a novel family of elliptical Airyprime vortex beams (EAPVBs) is introduced, which inherits the excellent self-focusing properties of the circular Airyprime vortex beam (CAPVB). The asymmetric focusing of EAPVB leads to some novel properties, such as the splitting of high-order optical vortex and the formation of two foci. By taking advantage of these properties, EAPVB is constructed as a tunable optical bottle for particle capture.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Xiao Ma, Qiongchan Shao, Jian-Jun He
Summary: In this study, an SHS chip based on Su8 waveguide was designed and fabricated. By physically adjusting the metal electrodes and compensating for transmissivity fluctuations, the generation of side ripples was successfully suppressed.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Hongbin Zhang, Jiansen Du, Zongtao Chi, Hailin Cong, Bin Wang
Summary: In this paper, a novel type of dual-wavelength confocal metalens is proposed to solve the spatial crosstalk between two wavelengths. The metalens can greatly reduce the spatial crosstalk and achieve high precision and efficiency in confocal imaging. It can also focus light in specific wavelength ranges, making it suitable for imaging, microscopy, and optical fiber communication.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Rui Qiu, Guanmao Zhang, Shaokai Du, Jie Liu, Hongyu Jib, Kaiyun Bi, Bochuan Xing, Guangchao Diao
Summary: Recent research has developed an achromatic metalens that shows potential for replacing traditional lenses. This study focuses on a continuously variable focus height broadband achromatic metalens for long-wavelength infrared applications. By optimizing materials and parameters, chromatic aberration is effectively corrected, making it suitable for high-resolution LWIR imaging and spectroscopy systems.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Marcos Troncoso-Costas, Gaurav Jain, Yiming Li, Mohammed Patel, Lakshmi Narayanan Venkatasubramani, Sean O'Duill, Frank Smyth, Andrew Ellis, Francisco Diaz-Otero, Colm Browning, Liam Barry
Summary: In this work, a fast-switching tuneable laser capable of wide wavelength coverage, low noise and linewidth levels suitable for high-order modulation formats is demonstrated. The laser is characterized to cover a wavelength range of 35 nm in the C-band with nanosecond switching time. It is used to successfully demonstrate 480 Gbit/s 16QAM transmission over 25 km of single-mode fiber for a wavelength range of 19 nm.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Takeshi Moriyasu, Masahiko Tani, Hideaki Kitahara, Takashi Furuya, Jessica Afalla, Toshiro Kohmoto, Daishiro Koide, Hiroki Sato, Mitsutaka Kumakura
Summary: Optical pump-terahertz probe spectroscopy was used to study the photocarrier dynamics and optical characteristics of semiconductor Si. The results showed that the thickness of Si influenced the transmitted terahertz field amplitude and peak delay time, indicating differences in photocarrier dynamics between different Si materials.
OPTICS COMMUNICATIONS
(2024)
