点击次数：

论文类型： 期刊论文

发表时间： 2016-05-01

发表刊物： IET IMAGE PROCESSING

收录刊物： SCIE、EI、Scopus

卷号： 10

期号： 5

页面范围： 359-370

ISSN号： 1751-9659

摘要： In this study, the authors propose a restoration algorithm for blurred and noisy continuous image sequences. The proposed approach treats an image sequence as a space-time volume and employs a spatio-temporal mean curvature regularisation which is a novel regularisation proposed in the study to enhance the smoothness of the solution. An augmented Lagrangian method with splitting techniques is used to handle the problem, iteratively finding solutions to the subproblems. Experiments show that the proposed approach can produce higher quality results and more natural images comparing with other space-time volume based methods on image sequence denoising and deblurring problems.