Poisson image fusion based on Markov random field fusion model

In this paper, we present a gradient domain image fusion framework based on the Markov Random Field (MRF) fusion model. In this framework, the salient structures of the input images are fused in the gradient domain, then the final fused image is reconstructed by solving a Poisson equation which forces the gradients of the fused image to be close to the fused gradients. To fuse the structures in the gradient domain, an effective MRF-based fusion model is designed based on both the per-pixel fusion rule defined by the local saliency and also the smoothness constraints over the fusion weights, which is optimized by graph cut algorithm. This MRF-based fusion model enables the accurate estimation of region-based fusion weights for the salient objects or structures. We apply this method to the applications of multi-sensor image fusion, including infrared and visible image fusion, multi-focus image fusion and medical image fusion. Extensive experiments and comparisons show that the proposed fusion model is able to better fuse the multi-sensor images and produces high-quality fusion results compared with the other state-of-the-art methods.     

A new image fusion performance metric based on visual information fidelity

Because subjective evaluation is not adequate for assessing work in an automatic system, using an objective image fusion performance metric is a common approach to evaluate the quality of different fusion schemes. In this paper, a multi-resolution image fusion metric using visual information fidelity (VIF) is presented to assess fusion performance objectively. This method has four stages: (1) Source and fused images are filtered and divided into blocks. (2) Visual information is evaluated with and without distortion information in each block. (3) The visual information fidelity for fusion (VIFF) of each sub-band is calculated. (4) The overall quality measure is determined by weighting the VIFF of each sub-band. In our experiment, the proposed fusion assessment method is compared with several existing fusion metrics using the subjective test dataset provided by Petrovic. We found that VIFF performs better in terms of both human perception matching and computational complexity.     

Partial standard quantum process tomography

With the general theory of standard quantum process tomography, we shall develop a scheme to decide an arbitrary matrix element of χ, which is in the Choi matrix representation, in a scalable way. Our observation is that: To decide the diagonal matrix element, one just needs a single measurement; To decide an arbitrary off-diagonal matrix element, we should carry out sixteen measurements. This result is independent of the actual dimension of the system. Compared with the known methods of partial QPT, our scheme does not require any additional resources. It can be applied for the case where a clean ancilla system is not available.     

Mediating and inducing quantum correlation between two separated qubits by one-dimensional plasmonic waveguide

We investigate the dynamics of quantum correlation between two separated qubits trapped in one-dimensional plasmonic waveguide. It is found that for a class of initial states, the quantum discord shows a sudden change phenomenon during the dynamical evolution. Furthermore, we demonstrate that the quantum discord can be enhanced if a proper product of the plasmon wave number and two qubits distance is chosen. Finally, we find that the non-zero quantum discord between two qubits can be created for the states without initial quantum discord during the time evolution of the system.     

校园安防前景——安防行业的下一块绿洲

本文主要介绍了校园安防的发展趋势。     

浅析《计算机网络》课程实验环境架构

本文针对当前贫穷地区高职高专计算机网络实验教学的特点,结合学校和本地实际情况,从实验课程教学内容及形式方法等方面探讨了计算机网络实验环境架构的有关问题.对计算机网络实验的环境构架存在的不足,给出了解决方案.     

宾馆管理信息管理系统

从设计思想、业务流程和系统结构这三个方面阐述了宾馆信息系统的分析和设计流程.     

浅论互动式教学在计算机专业教学中的应用

本文针对计算机专业学生学习计算机算法语言存在的问题,引用互动式教学的理论,设计了互动式教学模式,即"建-仿-读-改-写",提出了互动式教学的环境要求,分析了互动式教学的教学效果,基本形成了一套完整的教学方案。对提高计算机专业教学效果具有一定的指导意义。     

Output feedback variable structure control of uncertain linear systems in the presence of actuator dynamics

A new output feedback variable structure control scheme is developed based on a novel passivity idea. This scheme may practically stabilize a class of higher‐relative‐degree uncertain linear systems, and realize output tracking and disturbance attenuation as well. The controller is composed of linear filters and a single relay, without employing real‐time exact differentiators. Under this framework, we also explain how actuator dynamics affect the closed loop behavior. A simulation example shows the simplicity and efficiency of this method. Copyright © 2009 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society