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中文摘要：
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。
英文摘要：
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.
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