Ren Fu-Quan, Qiu Tian-Shuang. Video Restore Method Based on Spatial Temporal Weighted Total Variation[J]. Journal of Electronics & Information Technology, 2013, 35(4): 820-825. doi: 10.3724/SP.J.1146.2012.00589
Citation:
Ren Fu-Quan, Qiu Tian-Shuang. Video Restore Method Based on Spatial Temporal Weighted Total Variation[J]. Journal of Electronics & Information Technology, 2013, 35(4): 820-825. doi: 10.3724/SP.J.1146.2012.00589
Ren Fu-Quan, Qiu Tian-Shuang. Video Restore Method Based on Spatial Temporal Weighted Total Variation[J]. Journal of Electronics & Information Technology, 2013, 35(4): 820-825. doi: 10.3724/SP.J.1146.2012.00589
Citation:
Ren Fu-Quan, Qiu Tian-Shuang. Video Restore Method Based on Spatial Temporal Weighted Total Variation[J]. Journal of Electronics & Information Technology, 2013, 35(4): 820-825. doi: 10.3724/SP.J.1146.2012.00589
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.