2. 您的位置
3. 首页
4. 会议论文
5. Convex Variational Model for Restoring Blurred Images with Rician Noise

Convex Variational Model for Restoring Blurred Images with Rician Noise

来源 :第八届工业与应用数学国际大会 | 被引量 : 0次 | 上传用户：a81569476

【摘 要】

：

　　In this talk,a new convex variational model for restoring images degraded by blur and Rician noise is proposed.Due to the convexity,the solution of our mode

【作 者】

：

Zeng Tieyong 

【机 构】

：

Hong Kong Baptist Univ.

【出 处】

：

第八届工业与应用数学国际大会

【发表日期】

：

2015年期

下载到本地 , 更方便阅读

下载此文 赞助VIP

声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架

论文部分内容阅读

　　In this talk,a new convex variational model for restoring images degraded by blur and Rician noise is proposed.Due to the convexity,the solution of our model is unique and independent of the initialization of the algorithm.

其他文献

An SSQP Framework for A Class of Composite Lq Minimization over Polyhedron

　　The composite Lq(0

会议

Uniform Quadratic Programming and Extension

　　The uniform quadratic optimizatin problem(UQ)is a nonconvex quadratic constrained quadratic programming(QCQP)with the same Hessian matrix.

会议

Critical Points of Networks

　　We will introduce a notion of critical nodes associated with networks with free energy functions,docking on the recent development of computational topology

会议

Optimization algorithms and application

　　This minisymposium consists 5 sessions.It highlights recent advances in theory,algorithms and applications of mathematical optimization on solving huge prob

会议

Estimating Online Performance of Predictive Models

　　Offline evaluation metrics,such as AUC(the Area Under the Receiver Operating Characteristic Curve)and RIG(Relative Information Gain)are indicators of the ex

会议

Machine Learning for Machine Data

　　We present machine learning and high-accuracy prediction methods of rare events in semi-structured or unstructured log files produced at high velocity and h

会议

Social Data Science Needs Theories of Social Data:the Case of Sociopolitical Regime Shift During the

　　Big Data promises to revolutionize the way we make business,personal,or political decisions.However,insights from such data remain limited,unless they are s

会议

Computational Social Sciences

　　In the last decade,we have seen an enormous growth of social networks(Facebook,Twitter),e-commerce(Amazon,Netflix),and many other novel applications providi

会议

Tight Frame Based Image Segmentation and Applications

　　Motivated by the theoretical connection between wavelet frames based and total variation based image restoration models; we consider wavelet frame based seg

会议

Empirical Bayes Estimation of Hypermodel Parameters in Brain Activity Imaging

　　MEG is a noninvasive modality to image brain activity from magnetic field measurements outside the skull.We present a very efficient algorithm for estimatin

会议