  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.
