Abstract
In this chapter, our goal is to remove blotch noises as well as straight line scratches commonly seen in old film movies using digital image processing techniques. We proposed an adaptive blotch detection method based on our blotches characteristic analysis, where we calculate the size of each connected region using Connected Component methods to distinguish blotches and non-blotches, as a result, the proposed method can accurately mark the blotches noises. We also proposed a method to avoid misclassifying of small objects as blotches using and improving the accuracy of marked blotches. We adopt and improve Inpainting algorithm to repair the blotches noise. Inpainting algorithm is highly dependent on the order in which the filling proceeds; we also extend this approach to color images. In addition, we proposed criterion for performance evaluation of the proposed method.
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
References
Nadenau, M.J., Mitra, S.K.: Blotch and scratch detection in image sequences based on rank ordered differences. In: 5th International Workshop on Time-Varying Image Processing and Moving Object Recognition, Florence, Italy (1997)
Krishna P.J., Santhosh Kumar, S.: Blotch removal for old movie restoration using legendre moment and particle swarm optimization. In: 2011 International Conference on Communications and Signal Processing (ICCSP), pp. 348–352 (2011)
Dangui, X., Junqing, L., Dong, R., Yong, L., Shuifa, S.: Fast and effective blotch identification algorithm in archive film restoration. In: World Automation Congress (WAC), pp. 17–21 (2012)
沈岱範.陳文政, “應用信號型態成份分析法於數位化老舊膠捲影片修復的研究”, 2013 全國電信研討會, 台南大學, 11 (2013)
Tomasi, C., Manduchi, R.: Bilateral filtering for gray and color images. In: Sixth International Conference on Computer Vision, pp. 839–846 (1998)
繆紹綱, Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins.: 原著,『數位影像處理-運用MATLAB』“Digital image processing using MATLAB”,台北,台灣培生教育、台灣東華書局合作出版,pp. 419–423 (2008)
繆紹綱, Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins.: 原著,『數位影像處理-運用MATLAB』“Digital image processing using MATLAB”,台北,台灣培生教育、台灣東華書局合作出版,pp. 364–365 (2008)
繆紹綱, Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins.: 原著,『數位影像處理-運用MATLAB』“Digital Image Processing Using MATLAB”,台北,台灣培生教育、台灣東華書局合作出版, pp. 386–389 (2008)
Criminisi, A., Perez, P., Toyama, K.: Region filling and object removal by exemplar-based image inpainting. IEEE Trans. Image Process. 13(9), 1200–1212 (2004)
Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600–612 (2004)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Li, CM., Shen, DF. (2016). Enhancement of Digitized Old Film Using Inpainting-Based Method. In: Juang, J. (eds) Proceedings of the 3rd International Conference on Intelligent Technologies and Engineering Systems (ICITES2014). Lecture Notes in Electrical Engineering, vol 345. Springer, Cham. https://doi.org/10.1007/978-3-319-17314-6_46
Download citation
DOI: https://doi.org/10.1007/978-3-319-17314-6_46
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-17313-9
Online ISBN: 978-3-319-17314-6
eBook Packages: EngineeringEngineering (R0)