基于空-时加权全变差正则项的视频复原算法.PDF

第 35 卷第 4 期 电 子 与 信 息 学 报 Vol.35No.4 2013 年 4 月 Journal of Electronics Information Technology Apr. 2013 基于空-时加权全变差正则项的视频复原算法 任福全 邱天爽* (大连理工大学电子信息与电气工程学部 大连 116023) 摘 要：该文改进空-时全变正则项，提出了基于空-时加权全变差的视频图像重建算法。通过空-时加权全变差正则 项的引入，获得新的视频重建模型，并提出了基于分裂 Bregman迭代算法的模型快速求解方法。仿真和数值实验 表明，该文算法能够有效地实现高斯白噪声背景下视频序列去模糊问题，而且能够较好地保持复原图像序列的边缘 和细节信息，避免传统TV算法产生的过平滑而失去细节信息的缺点，获得更加自然和细节的复原图像。 关键词：图像处理；视频复原；空-时加权全变差；分裂 Bregman 迭代算法 中图分类号：TN911.73 文献标识码： A 文章编号：1009-5896(2013)04-0820-06 DOI: 10.3724/SP.J.1146.2012.00589 Video Restore Method Based on Spatial Temporal Weighted Total Variation Ren Fu-quan Qiu Tian-shuang (Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116023, China) Abstract: By improving the Spatial-Temporal Total Variation (ST-TV) method, a video image reconstruction approach based on the Spatial Temporal Weighted Total Variation (ST-WTV) is proposed in this paper. By introducing ST-WTV as a regular term, a new model is got for video image sequences reconstruction. An algorithm based on split Bregman iterative method is given in this paper. Finally, the simulated and real data experimental results show that the proposed spatially ST-WTV video restoration algorithm not only efficiently reduces the “artifacts” produced with a TV model in fat regions of the image, but also preserves the edge information, getting more nature and detail-preserving image sequences. Key words: Image processing; Video restoration; Space Time Weighted Total Variation (ST