- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
Fractional-Order Spatial Steganography and Blind Steganalysis for Printed Matter: Anti-Counterfeiting for Product External Packing in Internet-of-Things
摘要： This paper advocates a novel conceptual formulation of the fractional-order spatial steganography and blind steganalysis for printed matter, which can be efficiently employed in the anti-counterfeiting for product external packing in Internet-of-Things (IoT). Traditional digital steganography is not printable. Within the limits of our knowledge, until now, there are not a well-established steganography and a corresponding steganalysis for printed matter in IoT, which should receive desired attention. Fractional calculus has potentially received prominence in applications in the domain of image processing mainly because of its strengths like long-term memory, nonlocality, and weak singularity. Therefore, in an attempt to overcome the aforementioned technical limitation of traditional digital steganography, this work has studied here, as an interesting theoretical problem, would it be possible to apply the capability of preserving the edges and textural details of fractional calculus to the achievement of the steganography and steganalysis for printed matter in IoT. Motivated by this inspiration, in this paper, this work introduces a novel conceptual formulation of a Fractional-order Spatial Steganography (FSS) and a Fractional-order Blind Steganalysis (FBS) for printed matter. At first, according to the opponent process theory of colour vision, to better achieve the imperceptibility of the hidden secret information, this work uses both the self-similar complex textures in a neighborhood and the opponent channel of blue versus yellow to implement FSS for printed matter. Secondly, without requiring a priori knowledge regarding the characteristics of the original carrier image, hidden secret image, and steganography, a FBS, a fractional-order multimodal function optimization algorithm, is proposed. Finally, the efficient capability of hiding secret information of FSS and that of detecting secret information of FBS are analyzed in detail experimentally, respectively. These two important advantages lead to the superiority of the proposed approach for defending against statistics attack, rotation and distortion attack, cropping attack, scaling attack, noise attack, and colour copy attack. The main contribution of this paper is the first preliminary attempt of a feasible achievement of a spatial steganography and a blind steganalysis for printed matter.
关键词： Printed Matter,Anti-counterfeiting,Fractional-order spatial steganography,Fractional calculus,Fractional-order blind steganalysis
更新于2025-09-23 15:22:29
-
[IEEE 2018 International Conference on Microwave and Millimeter Wave Technology (ICMMT) - Chengdu, China (2018.5.7-2018.5.11)] 2018 International Conference on Microwave and Millimeter Wave Technology (ICMMT) - Detection of Uniformly Accelerated Spinning Target Based on OAM Beams
摘要： In recent years, it has been validated that electromagnetic (EM) wave carrying orbital angular momentum (OAM) can be exploited to detect the angular velocity of spinning targets with uniform velocity. In this paper, the detection method of uniformly accelerated spinning target using OAM beams is studied. The time-frequency analysis approaches, including the Wigner-Ville distribution (WVD) and the fractional order Fourier transform (FRFT), are used to analyze the rotational Doppler frequency shift caused by spinning targets. Simulation results indicate that the resolution of acceleration is dependent on the spectrum width of time-frequency diagrams of the echo signal.
关键词： OAM beams,rotational Doppler frequency shift,uniformly accelerated spinning target,Wigner-Ville distribution,fractional order Fourier transform
更新于2025-09-23 15:22:29
-
[IEEE 2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP) - Shenzhen, China (2018.7.13-2018.7.15)] 2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP) - A Fractional-order Differential Based Variational Model for Image Blind Deblurring
摘要： Image deblurring is a fundamental problem in image processing. The blind deblurring is a more challenge problem because we need to recover the true image but the blur type is unknown. The total variation method has been proposed by Tony Chan et al. [1] for image blind deblurring, but it often produces the staircase effect. To avoid this effect, in this paper, based on the fractional-order differential, we propose a novel variational method for blind deblurring. Moreover, in image regularization, we add a fractional-order edge detect function to preserve sharp edges. The primal-dual algorithm are developed to solve the proposed model. Numerical experiments show that our method is able to get the sharp images without the staircase effect and correctly estimate the unknown blur kernel.
关键词： fractional-order differential,primal-dual algorithm,Image deblurring
更新于2025-09-23 15:22:29
-
Dynamic analysis of an improper fractional-order laser chaotic system and its image encryption application
摘要： The fractional-order chaotic systems have characteristics of the all chaotic systems, however, the improper fractional-order chaotic systems have more complexity random sequences, which more suitable for chaotic cryptosystems. To investigate the application of improper fraction order chaotic system in chaotic cryptography, in this paper, an improper fractional-order laser chaotic system is constructed and applied in image encryption algorithm. The dynamic performances of the system are studied through phase diagrams, Lyapunov exponents spectrum, bifurcation diagrams and C0 complexity. Meanwhile, the improper fractional-order laser chaotic system is realized based on DSP platform. In addition, the performances of the designed encryption scheme are analyzed by key space, correlation coefficients, information entropy, histogram, differential attacks and robustness analysis. The experimental simulation results indicate that the improper fractional-order laser chaotic system not only has the abundant dynamic characteristics, but also has better security when it is used to image encryption algorithm. Therefore, this research would provide theoretical basis for the improper fractional-order laser chaotic system in security communications application.
关键词： DSP Implementation,Improper fractional-order laser chaotic system,Image encryption algorithm
更新于2025-09-23 15:21:01
-
Modulation Properties of an Extended Cavity Diode Laser and Dynamic Mode Splitting
摘要： Low-dose CT (LDCT) images tend to be degraded by excessive mottle noise and steak artifacts. In this paper, we proposed a novel fractional-order differentiation model that can be applied to LDCT image processing as a post-processing technique. The anisotropic diffusion model (proposed by Perona and Malik, i.e., PM model) has good performance in flat regions, total variation (TV) model works better in edge preservation, and fractional-order differentiation models can mitigate block effect while preserving fine details and more structure. The proposed model is based on the weighted combinations of the fractional-order PM model and the fractional-order TV model, which maintains the advantages of PM model, TV model, and fractional-order differentiation models. Moreover, the local intensity variance was added to both weighted coefficient and diffusion coefficient of the proposed model to properly preserve edges and details. A variety of simulated phantom data, including the Shepp–Logan head phantom, the pelvis phantom, and the actual thoracic phantom, were used for experimental validation. The results of numerical simulation and clinical data experiments demonstrate that the proposed approach has a better performance in both noise suppression and detail preservation, when compared with several other existing methods.
关键词： edge and detail preservation,fractional-order differentiation model,Low-dose CT,image processing
更新于2025-09-23 15:21:01
-
Adaptive Synchronization of Fractional-Order Coupled Neurons Under Electromagnetic Radiation
摘要： In this paper, we investigate the dynamical characteristics of four-variable fractional-order Hindmarsh–Rose neuronal model under electromagnetic radiation. The numerical results show that the improved model exhibits more complex dynamical behavior with more bifurcation parameters. Meanwhile, based on the fractional-order Lyapunov stability theory, we propose two adaptive control methods with a single controller to realize chaotic synchronization between two coupled neurons. Finally, numerical simulations show the feasibility and effectiveness of the presented method.
关键词： fractional-order,neuron,adaptive control,synchronization,Electromagnetic radiation
更新于2025-09-23 15:21:01
-
[IEEE 2019 19th International Workshop on Junction Technology (IWJT) - Kyoto, Japan (2019.6.6-2019.6.7)] 2019 19th International Workshop on Junction Technology (IWJT) - Aspects of Highly-channeled MeV Implants of Dopants in Si(100)
摘要： Low-dose CT (LDCT) images tend to be degraded by excessive mottle noise and steak artifacts. In this paper, we proposed a novel fractional-order differentiation model that can be applied to LDCT image processing as a post-processing technique. The anisotropic diffusion model (proposed by Perona and Malik, i.e., PM model) has good performance in flat regions, total variation (TV) model works better in edge preservation, and fractional-order differentiation models can mitigate block effect while preserving fine details and more structure. The proposed model is based on the weighted combinations of the fractional-order PM model and the fractional-order TV model, which maintains the advantages of PM model, TV model, and fractional-order differentiation models. Moreover, the local intensity variance was added to both weighted coefficient and diffusion coefficient of the proposed model to properly preserve edges and details. A variety of simulated phantom data, including the Shepp–Logan head phantom, the pelvis phantom, and the actual thoracic phantom, were used for experimental validation. The results of numerical simulation and clinical data experiments demonstrate that the proposed approach has a better performance in both noise suppression and detail preservation, when compared with several other existing methods.
关键词： image processing,edge and detail preservation,fractional-order differentiation model,Low-dose CT
更新于2025-09-23 15:19:57
-
Pipeline Leak Detection Technology Based on Distributed Optical Fiber Acoustic Sensing System
摘要： Low-dose CT (LDCT) images tend to be degraded by excessive mottle noise and steak artifacts. In this paper, we proposed a novel fractional-order differentiation model that can be applied to LDCT image processing as a post-processing technique. The anisotropic diffusion model (proposed by Perona and Malik, i.e., PM model) has good performance in flat regions, total variation (TV) model works better in edge preservation, and fractional-order differentiation models can mitigate block effect while preserving fine details and more structure. The proposed model is based on the weighted combinations of the fractional-order PM model and the fractional-order TV model, which maintains the advantages of PM model, TV model, and fractional-order differentiation models. Moreover, the local intensity variance was added to both weighted coefficient and diffusion coefficient of the proposed model to properly preserve edges and details. A variety of simulated phantom data, including the Shepp–Logan head phantom, the pelvis phantom, and the actual thoracic phantom, were used for experimental validation. The results of numerical simulation and clinical data experiments demonstrate that the proposed approach has a better performance in both noise suppression and detail preservation, when compared with several other existing methods.
关键词： image processing,edge and detail preservation,fractional-order differentiation model,Low-dose CT
更新于2025-09-23 15:19:57
-
Analysis and Design of a Transformerless Boost Inverter for Stand-Alone Photovoltaic Generation Systems
摘要： This paper discusses a novel conceptual formulation of the fractional-order Euler–Lagrange equation for the fractional-order variational method, which is based on the fractional-order extremum method. In particular, the reverse incremental optimal search of the fractional-order variational method is based on the fractional-order steepest descent approach. Fractional calculus has been applied to the solution of a necessary condition for the fractional-order fixed boundary optimization problems in signal processing and image processing mainly because of its inherent strengths in terms of long-term memory, non-locality, and weak singularity. At first, for the convenience of comparison, the first-order Euler–Lagrange equation for the first-order variational method is derived based on the first-order Green formula. Second, the fractional-order Euler–Lagrange equation for the fractional-order variational method is derived based on Wiener–Khintchine theorem. Third, in order to directly and easily achieve the fractional-order variational method in the spatial domain or the time domain, the fractional-order Green formula and the fractional-order Euler–Lagrange equation based on the fractional-order Green formula are derived, respectively. Fourth, the solution procedure of the fractional-order Euler–Lagrange equation is derived. Finally, a fractional-order inpainting algorithm and a fractional-order denoising algorithm based on the fractional-order variational method are illustrated, respectively. The capability of restoring and maintaining the edges and textural details of the fractional-order image restoration algorithm based on the fractional-order variational method is superior to that of the integer-order image restoration algorithm based on the classical first-order variational method, especially for images rich in textural details. The fractional-order Euler–Lagrange equation for the fractional-order variational method proposed by this paper is a necessary condition for the fractional-order fixed boundary optimization problems, which is a basic mathematical method in the fractional-order optimization and can be widely applied to the fractional-order field of signal analysis, signal processing, image processing, machine intelligence, automatic control, biomedical engineering, intelligent transportation, computational finance and so on.
关键词： Fractional calculus,fractional-order steepest descent approach,fractional-order image restoration,fractional-order Green formula,fractional-order extreme point
更新于2025-09-19 17:13:59
-
[IEEE 2019 European Space Power Conference (ESPC) - Juan-les-Pins, France (2019.9.30-2019.10.4)] 2019 European Space Power Conference (ESPC) - III-V on Si solar cells behavior at NIRT and LILT conditions for space applications
摘要： Low-dose CT (LDCT) images tend to be degraded by excessive mottle noise and steak artifacts. In this paper, we proposed a novel fractional-order differentiation model that can be applied to LDCT image processing as a post-processing technique. The anisotropic diffusion model (proposed by Perona and Malik, i.e., PM model) has good performance in ?at regions, total variation (TV) model works better in edge preservation, and fractional-order differentiation models can mitigate block effect while preserving ?ne details and more structure. The proposed model is based on the weighted combinations of the fractional-order PM model and the fractional-order TV model, which maintains the advantages of PM model, TV model, and fractional-order differentiation models. Moreover, the local intensity variance was added to both weighted coef?cient and diffusion coef?cient of the proposed model to properly preserve edges and details. A variety of simulated phantom data, including the Shepp–Logan head phantom, the pelvis phantom, and the actual thoracic phantom, were used for experimental validation. The results of numerical simulation and clinical data experiments demonstrate that the proposed approach has a better performance in both noise suppression and detail preservation, when compared with several other existing methods.
关键词： edge and detail preservation,fractional-order differentiation model,Low-dose CT,image processing
更新于2025-09-19 17:13:59