A High-efficiency Edge-preserving Bayesian Method for Image Interpolation

摘要：

Common interpolation methods such as bilinear and bicubic tend to smooth edges in the interpolated image.We propose a high-efficiency edge-preserving Bayesian method for image interpolation.In the proposed method,the problem of image interpolation can be expressed as a constrained optimization problem,where two keys of solving speed are how to obtain search direction and step length.We find a descent direction that has an analytic form and identify the step length using the Armijo rule,resulting in high-speed implementations.Experiment results show that this method guarantees the convergence rate of the solution and good visual quality of the interpolated image.

作者: Chuanbai Xiao Yanchao He Jing Yu

作者单位: College of Computer and Science Technology,Beijing University of Technology,Beijing 100124 China

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）