Scratch detection via temporal coherency analysis and removal using edge priority based interpolation

This paper presents an automatic scratch detection and removal approach for archive film sequences. The proposed detector mainly exploits temporal coherency of candidate scratch positions, which are obtained using an automatic scratch detection method proposed in the literature. In the restoration stage, both spatial and temporal information are employed. The proposed edge priority based scratch removal algorithm successfully removes scratch effects from archive film sequences

[1]  Domenico Tegolo,et al.  Scratch detection and removal from static images using simple statistics and genetic algorithms , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[2]  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).

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

[4]  Olivier Buisson,et al.  Reconstruction of degraded image sequences. Application to film restoration , 2001, Image Vis. Comput..

[5]  Sarp Ertürk,et al.  Modified phase-correlation based robust hard-cut detection with application to archive film , 2006, IEEE Transactions on Circuits and Systems for Video Technology.

[6]  Luc Van Gool,et al.  Video shot characterization , 2004, Machine Vision and Applications.

[7]  Vittoria Bruni,et al.  A generalized model for scratch detection , 2004, IEEE Transactions on Image Processing.

[8]  Anil C. Kokaram,et al.  Detection and removal of line scratches in degraded motion picture sequences , 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

[9]  Bernard Besserer,et al.  Detection and Tracking Scheme for Line Scratch Removal in an Image Sequence , 2004, ECCV.

[10]  Anil C. Kokaram,et al.  On missing data treatment for degraded video and film archives: a survey and a new Bayesian approach , 2004, IEEE Transactions on Image Processing.

[11]  Dimitri Van De Ville,et al.  Noise reduction by fuzzy image filtering , 2003, IEEE Trans. Fuzzy Syst..

[12]  Bernard Besserer,et al.  Tracking and MAP reconstruction of line scratches in degraded motion pictures , 2002, Machine Vision and Applications.

[13]  David Zhang,et al.  Image information restoration based on long-range correlation , 2002, IEEE Trans. Circuits Syst. Video Technol..

[14]  Sarp Ertürk,et al.  Membership function adaptive fuzzy filter for image sequence stabilization , 2004, IEEE Transactions on Consumer Electronics.

[15]  Theodore Vlachos Flicker correction for archived film sequences using a nonlinear model , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[16]  Sarp Ertürk,et al.  Real-Time Digital Image Stabilization Using Kalman Filters , 2002, Real Time Imaging.

[17]  Sung Yong Shin,et al.  On pixel-based texture synthesis by non-parametric sampling , 2006, Comput. Graph..

[18]  Sarp Ertürk,et al.  Blotch Detection and Removal for Archive Video Restoration , 2005, ISCIS.

[19]  Reginald L. Lagendijk,et al.  Correction of intensity flicker in old film sequences , 1999, IEEE Trans. Circuits Syst. Video Technol..

[20]  A. Murat Tekalp,et al.  Efficient multiframe Wiener restoration of blurred and noisy image sequences , 1992, IEEE Trans. Image Process..