Abstract
In this paper, we propose a new method to automatically remove intensity flicker in digitized old films. We assume that intensity of two consecutive frames should not change too much, and thus the histograms of the two frames are similar. Under these circumstances, we can fix a corrupted frame by substituting its content by the content of its neighboring frame. The major contribution of this work is that we simultaneously apply global histogram transform as well as local histogram transform to preserve the quality of frame intensity across consecutive frames. The function of local histogram transform is to remove local intensity flicker. Performance of the proposed method is evaluated by both local and global measurements. In the global measurement, the mean and the standard deviation of frame intensity are used. In the local measurement, the average of absolute intensity difference between blocks is adopted. Experiment results show that the proposed method can remove intensity flickers in a digitized old film effectively.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Wu, Y., Suter, D.: Historical Film Processing. In: Proc. SPIE, vol. 2564, pp. 289–300 (1995)
Hummel, R.A.: Image Enhancement by Histogram Transformation. Computer Graphics and Image Processing 6(2), 184–195 (1977)
Frei, W.: Image Enhancement by Histogram Hyperbolization. Computer Vision, Graphics, and Image Processing 6, 286–294 (1977)
Kim, Y.-T.: Contrast Enhancement Using Brightness Preserving Bi-histogram Equalization. IEEE Trans. on Consumer Electronics 43(1), 1–8 (1997)
Naranjo, V., Albiol, A.: Flicker Reduction in Old Films. In: IEEE International Conference on Image Processing, vol. 2, pp. 657–659. IEEE Press, Vancouver (2000)
Chen, S.-D., Ramli, A.R.: Contrast Enhancement Using Recursive Mean-separate Histogram Equalization for Scalable Brightness Preservation. IEEE Trans. on Consumer Electronic 49(4), 1301–1309 (2003)
Srinivasan, S., Balram, N.: Distinguished Paper: Adaptive Contrast Enhancement for Digital Video. In: SID International Symposium Digest of Technical papers, vol. 38(2), pp. 1446–1449 (2007)
Vlachos, T.: Flicker Correction for Archived Film Sequences Using a Nonlinear Model. IEEE Trans. on Circuits and Systems for Video Technology 14(4), 508–516 (2004)
Roosmalen, P.M.B., Lagendijk, R.L., Biemond, J.: Correction of Intensity Flicker in Old Film Sequences. IEEE Trans. on Circuits and Systems for Video Technology 9(7), 1013–1019 (1999)
Ohuchi, T., Seto, T., Komatsu, T., Saito, T.: A Robust Method of Image Flicker Correction for Heavily-corrupted Old Film Sequences. In: IEEE International Conference on Image Processing, vol. 2, pp. 672–675. IEEE Press, Vancouver (2000)
Pitié, F.: Removing Flicker from Old Movies. Master’s Thesis, University of Nice-Sophia Antipolis (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zeng, YC., Lin, SY., Shih, YP., Liao, HY.M. (2009). Intensity Flicker Removal in Digitized Old Films Using Global-Local Histogram Transform. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-10467-1_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10466-4
Online ISBN: 978-3-642-10467-1
eBook Packages: Computer ScienceComputer Science (R0)