检索结果-南通市图书馆

A maximum a posteriori super resolution algorithm based on multidimensional Lorentzian distribution

Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2009年第12期10卷 1705-1713页

作者： Wen CHEN Xiang-zhong FANG Yan CHENG Shanghai Key Lab of Digital Media Processing and Transmissions Institute of Image Communication and Information Processing Shanghai Jiao Tong University Shanghai 200240 China College of Information Technology East China University of Political Science and Law Shanghai 201620 China

This paper presents a threshold-free maximum a posteriori (MAP) super resolution (SR) algorithm to reconstruct high resolution (HR) images with sharp edges. The joint distribution of directional edge images is modeled as a multidimensional Lorentzian (MDL) function and regarded as a new image prior. This model makes full use of gradient information to restrict the solution space and yields an edge-preserving SR algorithm. The Lorentzian parameters in the cost function are replaced with a tunable variable, and graduated nonconvexity (GNC) optimization is used to guarantee that the proposed multidimensional Lorentzian SR (MDLSR) algorithm converges to the global minimum. Simulation results show the effectiveness of the MDLSR algorithm as well as its superiority over conventional SR methods.

关键词： edge preservation Multidimensional Lorentzian distribution (MDL) Super resolution Threshold

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Multiscale Image Dehazing and Restoration:An Application for Visual Surveillance

引用

Computers, Materials & Continua 2022年第1期70卷 1-17页

作者： Samia Riaz Muhammad Waqas Anwar Irfan Riaz Hyun-Woo Kim Yunyoung Nam Muhammad Attique Khan Department of Computer Science COMSATS University IslamabadWah Campus47040Pakistan Department of Computer Science COMSATS University IslamabadLahore CampusLahorePakistan Department of Electronics and Communication Engineering Hanyang UniversityAnsanKorea Department of ICT Convergence Soonchunhyang UniversityAsan31538Korea Department of Computer Science HITEC University TaxilaTaxila47080Pakistan

The captured outdoor images and videos may appear blurred due to haze,fog,and bad weather *** droplets or dust particles in the atmosphere cause the light to scatter,resulting in very limited scene discernibility and deterioration in the quality of the image ***,image dehazing has gainedmuch popularity because of its usability in a wide variety of *** algorithms have been proposed to solve this ill-posed *** algorithms provide quite promising results in some cases,but they include undesirable artifacts and noise in haze patches in adverse *** of these techniques take unrealistic processing time for high image *** this paper,to achieve real-time halo-free dehazing,fast and effective single image dehazing we propose a simple but effective image restoration technique using multiple *** will improve the shortcomings of DCP and improve its speed and efficiency for high-resolution images.A coarse transmissionmap is estimated by using the minimumof different size *** a cascaded fast guided filter is used to refine the transmission *** introduce an efficient scaling technique for transmission map estimation,which gives an advantage of very low-performance degradation for a highresolution *** performance evaluation,quantitative,qualitative and computational time comparisons have been performed,which provide quiet faithful results in speed,quality,and reliability of handling bright surfaces.

关键词： Dehaze defog pixel minimum patch minimum edge preservation

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A Bayesian Super Resolution Algorithm Based on Synthetic Gradient Distribution

引用

Journal of Donghua University(English Edition) 2011年第3期28卷 305-311页

作者：陈文方向忠 Shanghai Key Laboratory of Digital Media Processing and Transmissions Institute of Image Communication and Information Processing Shanghai Jiaotong University

A novel Bayesian super resolution (SR) algorithm based on the distribution of synthetic gradient is proposed. The synthetic gradient combines prior information in horizontal, vertical, and diagonal directions. Its distribution is modeled as a Lorentzian function and regarded as a new image model which can sufficiently regularize the ill-posed algorithm and preserve the edges in the reconstructed images. The graduated nonconvexity (GNC) optimization is employed to guarantee the convergence of the proposed Lorentzian SR (LSR) algorithm to the global minimum. The performance of LSR is compared with conventional algorithms, and experimental results demonstrate that the proposed algorithm obtains both subjective and objective gains.

关键词： synthetic gradients Lorentzian distribution threshold edge preservation

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：