Blotch detection and removal for archive film restoration

Abstract Blotch detection and removal is an important issue for archive film restoration. In this work, a two-stage Simplified Ranked Order Difference (SROD) detector that takes local motion changes into consideration has been proposed to increase blotch detection performance. Furthermore a novel pixel-based correction method that determines the new values of blotched pixels from spatio-temporal correlation considering edge information is developed. Experimental results show that the proposed approaches give successful detection and correction performances and outperform previously proposed techniques.

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

[2]  Reginald L. Lagendijk,et al.  Improved blotch detection by postprocessing , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[3]  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.

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

[5]  Sarp Ertürk,et al.  Pixel Domain Spatio-temporal Denoising for Archive Videos , 2006, ISCIS.

[6]  Lucia Ballerini,et al.  Time-Varying Image Processing and Moving Object Recognition , 1997 .

[7]  Anil C. Kokaram,et al.  Interpolation of missing data in image sequences , 1995, IEEE Trans. Image Process..

[8]  Anil C. Kokaram,et al.  Detection and interpolation of replacement noise in motion picture sequences using 3D autoregressive modelling , 1994, Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94.

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

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

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

[12]  Patrick Pérez,et al.  Region filling and object removal by exemplar-based image inpainting , 2004, IEEE Transactions on Image Processing.

[13]  Sanjit K. Mitra,et al.  Blotch and Scratch Detection in Image Sequences based on Rank Ordered Differences , 1997 .

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

[15]  Oguzhan Urhan,et al.  Shot-cut detection for B&W archive films using best-fitting kernel , 2007 .

[16]  Sarp Ertürk,et al.  Scratch detection via temporal coherency analysis and removal using edge priority based interpolation , 2006, 2006 IEEE International Symposium on Circuits and Systems.

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

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

[19]  Shohreh Kasaei,et al.  Novel Post-Processing Methods Used in Detection of Blotches in Image Sequences , 2004 .

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

[21]  Anil C. Kokaram,et al.  Detection of missing data in image sequences , 1995, IEEE Trans. Image Process..