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High-Quality Spatial Interpolation of Interlaced Video

High-Quality Spatial Interpolation of Interlaced Video. Alexey Lukin. Moscow State University, 2008. Interlaced-scan video. Invented in 1930-ies Video frame is separated into 2 fields (even and odd raster lines) Improvement of motion smoothness w/o increase of signal bandwidth.

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High-Quality Spatial Interpolation of Interlaced Video

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  1. High-Quality Spatial Interpolationof Interlaced Video Alexey Lukin Moscow State University, 2008

  2. Interlaced-scan video • Invented in 1930-ies • Video frame is separated into 2 fields (even and odd raster lines) • Improvement of motion smoothness w/o increase of signal bandwidth

  3. Interlaced-scan video • Invented in 1930-ies • Video frame is separated into 2 fields (even and odd raster lines) • Improvement of motion smoothness w/o increase of signal bandwidth

  4. Deinterlacing • Computer displays are progressive-scan → deinterlacing is needed • Simplest deinterlacing methods: ► “Bob” (line averaging) ► “Weave” (field insertion) spatial interpolation temporal interpolation

  5. Deinterlacing • Advanced deinterlacing methods: • Motion-adaptive: use “Bob” method in motion areas, use “Weave” method in still areas • Motion-compensated: use motion compensation to temporally align fields in motion-adaptive method

  6. Spatial interpolation • High-quality spatial interpolation • Simple approaches: • Line averaging, cubic interpolation • ELA (Edge-Directed Line Averaging)

  7. Spatial interpolation • Problem with ELA: uncertain interpolation direction in presence of thin lines Line averaging ELA (5 directions)

  8. Proposed method • Aperture extension • Allows interpolating near-horizontal edges • Spatial averaging of derivatives • Improves the robustness of edge sensing

  9. Proposed method • Mixing of interpolation directions • Tolerates inaccurate detection of edge direction • Expectation Maximization algorithm • Re-estimation of derivatives from the interpolated image

  10. Results PSNR evaluation

  11. Results Visual quality Line averaging ELA (5-directional) EEDI2 method (free software) EDDI method (G. de Haan) MSU algorithm, 2003 Proposed method

  12. Results Visual quality Proposed method + motion compensation ELA (5-directional) Proposed method

  13. Conclusion • The developed method has: • High visual quality and good PSNR figures • Simple structure • High computational complexity (optimizations possible)

  14. Your questions ? Thank you http://imaging.cs.msu.ru/~lukin/deinterlacing.html

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