| 摘要: |
| 为了解决视频超分辨率重建的病态问题，以得到良好的重建效果，提出了一种新颖的视频超分辨率重建算法。在算法中引入了时空联合正则化算子，通过视频帧本身的空间平滑信息和视频相邻帧的帧间相关先验信息的引入，提高了解的质量；同时，为了选择合适的时空正则化系数，提出了基于L曲线的自适应时空正则化系数计算方法，可以自适应地计算合适的正则化系数。通过对模拟图像序列和真实视频序列的实验结果表明，算法能得到较为精确的解，重建出具有良好视觉效果的高分辨率视频。 |
| 关键词: 视频图像 超分辨率重建 时空正则化 自适应计算 L曲线 |
| DOI： |
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| 基金项目:四川省教育厅科研基金资助项目(11ZB073) ；可视化计算与虚拟现实四川省重点实验室资助项目(PJ201113)；湖北省自然科学基金资助项目（2012FFC02601）；湖北省教育厅青年科学研究基金项目(Q20111907) |
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| Video super-resolution reconstruction based on L-curve adaptive spatial-temporal regularization |
| CHEN Wei-long,GUO Li |
| () |
| Abstract: |
| In order to solve the ill-posed problem of super-resolution reconstruction and achieve good visual effect,this paper proposes a novel video super-resolution reconstruction algorithm.In this algorithm,spatial-temporal regularization operator is introduced in the reconstruction process,and the precision of solving is improved by spatial smoothing information and prior information between video frames.In addition,a method of adaptively computing spatial-temporal regularization factor is proposed in this algorithm,and it is based on L-curve and can adaptively compute an appropriate regularization factor.Experimental results of simulated video sequence and real video sequence prove that the proposed super-resolution reconstruction algorithm can obtain precise solving and high-resolution visual result simultaneously. |
| Key words: video image super-resolution reconstruction spatial-temporal regularization adaptive computation L-curve |
《电讯技术》编辑部 