Papers › Multi-frame Joint Enhancement for Early Interlaced Videos

Multi-frame Joint Enhancement for Early Interlaced Videos

29 Sep 2021arXiv:2109.14151archive 2025-07-28

Yang Zhao, Yanbo Ma, Yuan Chen, Wei Jia, Ronggang Wang, Xiaoping Liu

Early interlaced videos usually contain multiple and interlacing and complex compression artifacts, which significantly reduce the visual quality. Although the high-definition reconstruction technology for early videos has made great progress in recent years, related research on deinterlacing is still lacking. Traditional methods mainly focus on simple interlacing mechanism, and cannot deal with the complex artifacts in real-world early videos. Recent interlaced video reconstruction deep deinterlacing models only focus on single frame, while neglecting important temporal information. Therefore, this paper proposes a multiframe deinterlacing network joint enhancement network for early interlaced videos that consists of three modules, i.e., spatial vertical interpolation module, temporal alignment and fusion module, and final refinement module. The proposed method can effectively remove the complex artifacts in early videos by using temporal redundancy of multi-fields. Experimental results demonstrate that the proposed method can recover high quality results for both synthetic dataset and real-world early interlaced videos.

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Tasks

Video DeinterlacingVideo Reconstruction

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Video Deinterlacing MSU Deinterlacer Benchmark MFDIN (L) FPS on CPU 1.6 #1 of 31 Archive leaderboard report
Video Deinterlacing MSU Deinterlacer Benchmark MFDIN (L) PSNR 43.884 #1 of 31 Archive leaderboard report
Video Deinterlacing MSU Deinterlacer Benchmark MFDIN (L) SSIM 0.979 #1 of 31 Archive leaderboard report
Video Deinterlacing MSU Deinterlacer Benchmark MFDIN (L) Subjective 1.054 #1 of 31 Archive leaderboard report
Video Deinterlacing MSU Deinterlacer Benchmark MFDIN (L) VMAF 97.30 #1 of 31 Archive leaderboard report
Video Deinterlacing MSU Deinterlacer Benchmark MFDIN FPS on CPU 1.6 #2 of 31 Archive leaderboard report
Video Deinterlacing MSU Deinterlacer Benchmark MFDIN PSNR 39.803 #2 of 31 Archive leaderboard report
Video Deinterlacing MSU Deinterlacer Benchmark MFDIN SSIM 0.961 #2 of 31 Archive leaderboard report
Video Deinterlacing MSU Deinterlacer Benchmark MFDIN Subjective 0.963 #2 of 31 Archive leaderboard report
Video Deinterlacing MSU Deinterlacer Benchmark MFDIN VMAF 94.38 #2 of 31 Archive leaderboard report

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