Abstract
A spatiotemporal method is presented for detection and concealment of local defects such as blotches in old color films. Initially, non-local means (NL-means) method which does not require motion estimation is used for noise removal in image sequences. Later, the motion vectors that are incorrectly estimated within defect regions are repaired by taking account of the temporal continuity of motion trajectory. The defects in films are detected by spike detection index (SDI) method, which are easily adapted to color image sequences. Finally, the proposed inpainting algorithm fills in detected defect regions, which is not required to estimate true motion like other approaches. The method is presented on synthetic and real image sequences, and efficient concealment results are obtained.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kokaram, A.C., Morris, R.D., Fitzgerald, W.J., Rayner, P.J.W.: Detection of Missing Data in Image Sequences. IEEE Transactions on Image Processing 4(11), 1496–1508 (1995)
Bornand, R., Lecan, E., Laborelli, L., Chenot, J.: Missing Data Correction in Still Images and Image Sequences. In: Proceedings of ACM Multimedia, ACM, New York (2002)
Efros, A., Freeman, W.: Image Quilting for Texture Synthesis and Transfer. In: Proceedinds of ACM Conference on Computer Graphics, Eugene Fiume, pp. 341–346. ACM, New York (2001)
Criminisi, A., Perez, P., Toyama, K.: Region Filling and Object Removal by Exampler-Based Inpainting. IEEE Trans. Image Proc. 13(9), 1200–1212 (2004)
Gangal, A., Kayikcioglu, T., Dizdaroglu, B.: An improved motion-compensated restoration method for damaged color motion picture films. Signal Proc. Image Comm. 19, 353–368 (2004)
Gangal, A., Dizdaroglu, B.: Automatic Restoration of Old Motion Picture Films Using Spatio-Temporal Exemplar-Based Inpainting. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds.) ACIVS 2006. LNCS, vol. 4179, pp. 55–66. Springer, Heidelberg (2006)
Buades, A., Coll, B., Morel, J.M.: Denoising Image Sequences Does not Require Motion Estimation. In: CMLA 2005-18 (2005)
Tourapis, A.M., Shen, G., Liou, M.L., Au, O.C., Ahmad, I.: A New Predictive Diamond Search Algorithm for Block Based Motion Estimation. In: Proc. of Visual Comm. and Image Proc. (2000)
Boyce, J.: Noise Reduction of Image Sequences Using Adaptive Motion Compensated Frame Averaging. Proceedings of the IEEE ICASSP 3, 461–464 (1992)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dizdaroglu, B., Gangal, A. (2007). A Spatiotemporal Algorithm for Detection and Restoration of Defects in Old Color Films. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2007. Lecture Notes in Computer Science, vol 4678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74607-2_46
Download citation
DOI: https://doi.org/10.1007/978-3-540-74607-2_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74606-5
Online ISBN: 978-3-540-74607-2
eBook Packages: Computer ScienceComputer Science (R0)