Interpolation of scratches in motion picture films

Movie films are often damaged through ageing, chemical changes and contact with mechanical parts of a film projector. In this paper a method for the removal of scratches and undesirable lines in digitised film sequences is discussed. The method assumes the prior knowledge about the position and orientation of the scratches and utilises an iterative method to interpolate the affected pixels. The convergence of the algorithm is guaranteed for the noise free case and the optimal choice of the involved relaxation parameter is demonstrated. The method was validated using sampled movies and proved to be stable even in the presence of noise. Remarkable is the reconstruction result in comparison to standard interpolation techniques like cubic splines.

[1]  Hsieh Hou,et al.  Cubic splines for image interpolation and digital filtering , 1978 .

[2]  Michal Haindl,et al.  A scratch removal method , 1998, Kybernetika.

[3]  Olivier Buisson,et al.  Detection and removal of line scratches in motion picture films , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[4]  O. Kao,et al.  Removal of Vertical Scratches in Digitised Historical Film Sequences Using Wavelet Decomposition , 2000 .

[5]  A. Papoulis A new algorithm in spectral analysis and band-limited extrapolation. , 1975 .

[6]  Nam-Deuk Kim,et al.  Nonlinear operators for edge detection and line scratch removal , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[7]  Sanjit K. Mitra,et al.  A simple algorithm for restoration of images corrupted by streaks , 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.

[8]  L. Landweber An iteration formula for Fredholm integral equations of the first kind , 1951 .

[9]  R. Gerchberg Super-resolution through Error Energy Reduction , 1974 .

[10]  R. Unbehauen,et al.  Estimation of image noise variance , 1999 .