论文标题
重新思考Deinterlacing for早期交织的视频
Rethinking deinterlacing for early interlaced videos
论文作者
论文摘要
随着图像恢复技术的快速发展，早期视频的高清重建取得了令人印象深刻的结果。但是，很少有关于经常出现在早期视频中并显着影响视觉感知的交织伪影的研究。传统的除外方法主要集中在早期的交织扫描系统上，因此无法处理现实世界中早期交错视频中复杂而复杂的伪像。因此，本文提出了一个特定的开采网络（DIN），该网络是由传统的开采策略所激发的。所提出的DIN由两个阶段组成，即分裂场的合作垂直插值阶段，以及用于感知运动和去除幽灵伪影的合并阶段。实验结果表明，所提出的方法可以有效地消除早期交错视频中的复杂伪影。
With the rapid development of image restoration techniques, high-definition reconstruction of early videos has achieved impressive results. However, there are few studies about the interlacing artifacts that often appear in early videos and significantly affect visual perception. Traditional deinterlacing approaches are mainly focused on early interlacing scanning systems and thus cannot handle the complex and complicated artifacts in real-world early interlaced videos. Hence, this paper proposes a specific deinterlacing network (DIN), which is motivated by the traditional deinterlacing strategy. The proposed DIN consists of two stages, i.e., a cooperative vertical interpolation stage for split fields, and a merging stage that is applied to perceive movements and remove ghost artifacts. Experimental results demonstrate that the proposed method can effectively remove complex artifacts in early interlaced videos.
