Browse > Article
http://dx.doi.org/10.3745/KIPSTD.2008.15-D.4.581

Image Feature based Inpainting Scheme for Restoration of Line Scratch of Old Film  

Ko, Ki-Hong (서울시립대학교 대학원 컴퓨터통계학과)
Kim, Seong-Whan (서울시립대학교 컴퓨터과학부)
Publication Information
The KIPS Transactions:PartD / v.15D, no.4, 2008 , pp. 581-588 More about this Journal
Abstract
Old films or photographs usually have damages from physical or chemical effects, and the damage and digitalization make stain, scratch, scribbling, noise, and digital drop out in frames. Damages include global damage and local damage, and it is well known that local damage restoration is a main factor for improving image quality. Previous researches have focused on impairment localization (esp. for line scratch impairments) and restoration techniques for line scratch, dirt, blob, and intentional scratch. Inpainting is a key technique using partial derivatives to restore damages in images. It does not show good quality for the complex images because it is based on finite order for partial derivatives, and it takes much time complexity. In this paper, we present a modified inpainting scheme, where we use Sobel edge operator's and angle to compute isophotes, and compare our scheme with Bertalmio's scheme. We experiment our scheme with two old Korean films, and Simulation results show that our scheme requires smaller time complexity than Bertalmio's scheme with comparable reconstructed image quality.
Keywords
Inpainting; Image Restoration; Isophotes; Partial Differential Equation; Line Scratch;
Citations & Related Records
연도 인용수 순위
  • Reference
1 D. Vitulano, V. Bruni, and P. Ciarlini., “Line Scratch Detection on Digital Images: an Energy Based Model,” IAC-CNR, Rome, Italy, 15/2001
2 M. Oliveira, B. Bowen, R. McKenna, and Y.-S. Chang., “Fast Digital Image Inpainting,” In Proc. VIIP 2001, pp. 261-266, 2001
3 A. Telea., “An Image Inpainting Technique Based on the Fast Marching Method,” Journal of Graphics Tools, Vol.9, No.1, pp.25-36, 2004
4 S.-J. Ko, S.-H. Lee, S.-W. Jeon, and E.-S. Kang., “Fast Digital Image Stabilizer based on Gray-coded Bit-plane Matching,” IEEE Trans. Consumer Electronics, Vol.45, No.3, pp.598-603, Aug., 1999   DOI   ScienceOn
5 T. Vlachos., “Flicker Correction for Archived Film Sequences Using a Nonlinear Model,” IEEE Trans. Circuits and Systems for Video Technology, Vol.14, No.4, pp.508-516, Apr., 2004   DOI   ScienceOn
6 R. Duda and P. Hart, “Pattern Classification and Scene Analysis,” John Wiley and Sons, 1973
7 A.C. Kokaram., “Detection and Removal of Line Scratches in Degraded Motion Picture Sequences,” Signal Processing VIII, Vol.1, pp.5-8, Sept., 1996
8 L. Joyeux, O. Buisson, B. Besserer, and S. Boukir, “Detection and removal of line scratches in motion picture film,” IEEE Computer Society Conf. Computer Vision and Pattern Recognition, Vol.1, pp.548-553, 1999
9 L. Joyeux, S. Boukir, and B. Besserer, “Film line scratch removal using Kalman filtering and Bayesian restoration,” IEEE Workshop on the Applications of Computer Vision, pp.8-13, 2000   DOI
10 M. Bertalmio, G.Sapiro, V. Caselles, and C. Ballester., “Image Inpainting",In Proceedings SIGGRAPH 2000, Computer Graphics Proceedings, Annual Conference Series, edited by Kurt Akeley, pp.417-424, Reading, MA: Addison-Wesley, 2000