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Early interlaced videos usually contain multiple and interlacing and complexcompression artifacts, which significantly reduce the visual quality. Althoughthe high-definition reconstruction technology for early videos has made greatprogress in recent years, related research on deinterlacing is still lacking.Traditional methods mainly focus on simple interlacing mechanism, and cannotdeal with the complex artifacts in real-world early videos. Recent interlacedvideo reconstruction deep deinterlacing models only focus on single frame,while neglecting important temporal information. Therefore, this paper proposesa multiframe deinterlacing network joint enhancement network for earlyinterlaced videos that consists of three modules, i.e., spatial verticalinterpolation module, temporal alignment and fusion module, and finalrefinement module. The proposed method can effectively remove the complexartifacts in early videos by using temporal redundancy of multi-fields.Experimental results demonstrate that the proposed method can recover highquality results for both synthetic dataset and real-world early interlacedvideos.

Multiframe Joint Enhancement for Early Interlaced Videos