该文针对合成孔径雷达(Synthetic Aperture Radar,SAR)图像含有大量的乘性斑点噪声的特点,提出了一种小波域隐类属的马尔可夫随机场(Markov Random Field,MRF)图像分割算法来抑制噪声的影响。考虑到小波的聚集性和持续性,该算法重新构...该文针对合成孔径雷达(Synthetic Aperture Radar,SAR)图像含有大量的乘性斑点噪声的特点,提出了一种小波域隐类属的马尔可夫随机场(Markov Random Field,MRF)图像分割算法来抑制噪声的影响。考虑到小波的聚集性和持续性,该算法重新构造了待分图像小波域模型——以类属为隐状态的混合长拖尾模型,将隐类属的马尔可夫随机场推广到小波域上,并用改进的上下文模型估计尺度间转移概率,最后推导出了新的最大后验(Maximum A Posteriori,MAP)分割公式。仿真结果证明,该算法具有鲁棒性能够有效地抑制噪声对图像的影响,得到准确的分割结果。展开更多
根据尺度间小波系数的相关性和方差是双变量分布模型参数的理论,提出了应用基于上下文模型的空间自适应方法估计方差,并用双变量收缩法进行图像去噪的新方法.将新方法与仅使用待估计点与它的方形邻域窗来估计方差的双变量阈值去噪方法...根据尺度间小波系数的相关性和方差是双变量分布模型参数的理论,提出了应用基于上下文模型的空间自适应方法估计方差,并用双变量收缩法进行图像去噪的新方法.将新方法与仅使用待估计点与它的方形邻域窗来估计方差的双变量阈值去噪方法进行了比较.结果表明,用新方法去噪时图像的P SN R值与视觉效果都有提高和改善,新去噪方法具有理论上的一致性.展开更多
限制基于上下文的二进制算术解码(CABAD)速度的几个主要环节入手,提出了优化的上下文存储模式,改进的重归一化单元,并使用流水线提高解码速度.在Synopsys公司的CoCentric System Studio平台进行了二进制算术解码器体系结构设计,仿真结...限制基于上下文的二进制算术解码(CABAD)速度的几个主要环节入手,提出了优化的上下文存储模式,改进的重归一化单元,并使用流水线提高解码速度.在Synopsys公司的CoCentric System Studio平台进行了二进制算术解码器体系结构设计,仿真结果表明,本结构能够满足主要档次(main profile)CIF 30fps的实时解码的要求.展开更多
With the development of communication and ubiquitous computing technologies, context-aware services, which acquire contextual information of users and environment, have become critical applications providing customiza...With the development of communication and ubiquitous computing technologies, context-aware services, which acquire contextual information of users and environment, have become critical applications providing customization in mobile commerce. Meanwhile, tourism has attracted increasing attention as a high value-added service and a hot academic topic. However, the research on how to provide tour services based on context-aware services is in fact still at an early stage, limited to concept elaboration, service framework discussion, prototype system development etc. In this paper, we summarized the previous researches on context-aware services to establish the research foundation, put forward a way of analyzing a tour planning problem with a modified model of Traveling Salesman Problem （TSP） and Vehicle Routing Problem （VRP）, and we applied an innovated Resource Constrain Project Scheduling Problem （RCPSP） mathematical model to solve the tour planning problem based on context information. The simulation under branch and bound algoritban evaluated the validity of our solution.展开更多
Context-aware plays a pivotal role in the wisdom network of information processing. Due to the limited resources, context conflict is inevitable in context-aware. User satisfaction is a good reflection for the wisdom ...Context-aware plays a pivotal role in the wisdom network of information processing. Due to the limited resources, context conflict is inevitable in context-aware. User satisfaction is a good reflection for the wisdom degree of the network. In this paper, considering the user satisfaction, we propose a novel context-aware conflict solution model based on set pair Analysis （SPA）. The model obtains the best server mode by the maximum satisfaction connection degree to solve the conflict in context-aware. The simulation analysis shows that the proposed method is effective and can solve many users competition for the same scene of conflict.展开更多
文摘该文针对合成孔径雷达(Synthetic Aperture Radar,SAR)图像含有大量的乘性斑点噪声的特点,提出了一种小波域隐类属的马尔可夫随机场(Markov Random Field,MRF)图像分割算法来抑制噪声的影响。考虑到小波的聚集性和持续性,该算法重新构造了待分图像小波域模型——以类属为隐状态的混合长拖尾模型,将隐类属的马尔可夫随机场推广到小波域上,并用改进的上下文模型估计尺度间转移概率,最后推导出了新的最大后验(Maximum A Posteriori,MAP)分割公式。仿真结果证明,该算法具有鲁棒性能够有效地抑制噪声对图像的影响,得到准确的分割结果。
文摘根据尺度间小波系数的相关性和方差是双变量分布模型参数的理论,提出了应用基于上下文模型的空间自适应方法估计方差,并用双变量收缩法进行图像去噪的新方法.将新方法与仅使用待估计点与它的方形邻域窗来估计方差的双变量阈值去噪方法进行了比较.结果表明,用新方法去噪时图像的P SN R值与视觉效果都有提高和改善,新去噪方法具有理论上的一致性.
文摘限制基于上下文的二进制算术解码(CABAD)速度的几个主要环节入手,提出了优化的上下文存储模式,改进的重归一化单元,并使用流水线提高解码速度.在Synopsys公司的CoCentric System Studio平台进行了二进制算术解码器体系结构设计,仿真结果表明,本结构能够满足主要档次(main profile)CIF 30fps的实时解码的要求.
基金supported in partby the National Natural Science Foundation of China under Grants No. 70972048,No. 71071140,No. 71272076,No. 71201011,No. 51108209,No. 60903014Shanghai Philosophy,Social Science Funds for Youth under Grant No. 2008EZH002
文摘With the development of communication and ubiquitous computing technologies, context-aware services, which acquire contextual information of users and environment, have become critical applications providing customization in mobile commerce. Meanwhile, tourism has attracted increasing attention as a high value-added service and a hot academic topic. However, the research on how to provide tour services based on context-aware services is in fact still at an early stage, limited to concept elaboration, service framework discussion, prototype system development etc. In this paper, we summarized the previous researches on context-aware services to establish the research foundation, put forward a way of analyzing a tour planning problem with a modified model of Traveling Salesman Problem （TSP） and Vehicle Routing Problem （VRP）, and we applied an innovated Resource Constrain Project Scheduling Problem （RCPSP） mathematical model to solve the tour planning problem based on context information. The simulation under branch and bound algoritban evaluated the validity of our solution.
文摘Context-aware plays a pivotal role in the wisdom network of information processing. Due to the limited resources, context conflict is inevitable in context-aware. User satisfaction is a good reflection for the wisdom degree of the network. In this paper, considering the user satisfaction, we propose a novel context-aware conflict solution model based on set pair Analysis （SPA）. The model obtains the best server mode by the maximum satisfaction connection degree to solve the conflict in context-aware. The simulation analysis shows that the proposed method is effective and can solve many users competition for the same scene of conflict.
