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Film Restoration PhD presentation

Film Restoration PhD presentation. Alasdair Newson Tuesday 16 November 2010. Context/introduction. PhD Subject : Robust and efficient tools for digital film restoration. Initial directions/considerations : Artifact detection Non-impulsive defects ( line scratches ... )

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Film Restoration PhD presentation

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  1. Film Restoration PhD presentation Alasdair Newson Tuesday 16 November 2010

  2. Context/introduction • PhD Subject : Robust and efficient tools for digital film restoration • Initial directions/considerations : • Artifact detection • Non-impulsive defects (line scratches ...) • Restoration of said defects • High definition material • Project : CPW 1 • Administrative aspects (official) • Technicolor PhD supervisor : Patrick PEREZ • Academic PhD supervisor : Yann GOUSSEAU

  3. Contents • Scratch : • Detection • Tracking • Inpainting/Restoration • Spatial • Temporal • Spatio-Temporel • Computational Issues

  4. Principal methods used • Wavelet decomposition • Hough Transform, morphological detectors • Bayesian networks, Hidden Markov Models • Harmonic equation modeling of scratches • Neural networks • Kalman filtering (tracking) • Optical flow • Movement estimation • Low and high frequency interpolation (polynomial and Fourier series interpolation) • Random Walks • 3 global method groups • Graphic models (stats.) • Image Proc. filters • Movement estimation

  5. Detection/Tracking

  6. Scratch detection

  7. Scratch detection (continued)

  8. Scratch tracking

  9. Inpainting/Restoration

  10. Inpainting/Restoration Spatial

  11. Inpainting/Restoration Temporal

  12. Inpainting/Restoration Spatio-temporal

  13. Computational issues

  14. Computation Time Detection Restoration

  15. Various ideas, notes and questions: • Spatial seam-carving • Multiple orientation of patches • Scratches (hypotheses etc ...) : • Do they have side-lobes ? • Do they show periodic motion (sinusoidal, damped sinusoid) ? • Are they additive (ie. added to the original image information, rather than destroying it completely) ? • Weber’s law : determines the visibility/detectability of a scratch with respect to the brightness of the rest of the image • Use of Wavelet domain : why ? Because of “colour independent detection” ? • Radon projections ? • Temporal analysis DEFINATELY needed • Materials needed : • LOTS of scratched footage (the higher definition the better – to observe side-lobes) • Matlab ...

  16. Questions (Yann questions) : • Technical questions : • What exactly is the Wavelet domain ? (Mallat 1992) • What is a film’s resolution (analog ... ?) • Is Flicker restoration allowed (in my PhD) ? • Flicker seems to be very present in old films • It would seem that scratches are not completely “non-impulsive” (The Cabinet of Dr. Caligari, Nosferatu ...)

  17. Bibliography Detection

  18. Bibliography (continued) Restoration

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