Browse > Article

Linear Scratch Detection and Removal Technique for Old Film Sequences Using Wavelet Shrinkage and Interpolation  

Kang, Won-Seok (Dept. of Image Engineering. Graduate School of Advanced Image Science, Multimedia, and Film, Chung-Ang University)
Lee, Eun-Sung (Dept. of Image Engineering. Graduate School of Advanced Image Science, Multimedia, and Film, Chung-Ang University)
Kim, Sang-Jin (Dept. of Image Engineering. Graduate School of Advanced Image Science, Multimedia, and Film, Chung-Ang University)
Paik, Joon-Ki (Dept. of Image Engineering. Graduate School of Advanced Image Science, Multimedia, and Film, Chung-Ang University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.48, no.5, 2011 , pp. 1-9 More about this Journal
Abstract
This paper presents a novel scratch detection and removal approach for old film images in wavelet-domain. Various scratch detection and removal algorithms have been proposed for past decades. However, accurate scratch detection and removal with a moderate amount of computing effort is still a problem because of trade off between the quality of the film and computational load. For overcoming this problem, we first decompose an input image using a 3-level wavelet transform, and then remove the scratch by shrinking wavelet coefficients using linear interpolation. Experimental results show that the proposed algorithm can efficiently detect and remove the scratch in damaged films, and also be incorporated into old film restoration systems.
Keywords
scratch detection; scratch removal; wavelet transform; wavelet shrinkage;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 S. Kim, W. Kang, E. Lee, and J. Paik, "Wavelet-Domain Color Image Enhancement Using Filtered Directional Bases and Frequency-Adaptive Shrinkage," IEEE Trans. Consumer Electronics, vol. 56, no. 2, pp. 1063-1070, May 2010.   DOI
2 L. Joyeux, S. Boukir, and B. Besserer, "Film line scratch removal using Kalman filtering and Bayesian restoration," in Proc. of IEEE WACV2000, pp. 8-13, Palm Springs, USA, Dec. 2000.
3 L. Joyeux, "Reconstruction of degraded image sequences. Application to film restoration," Image and Vision Computing, Vol. 19, pp. 503-516, 2001.   DOI   ScienceOn
4 이찬휘, "오래된 영화의 손상 검출과 개선된 Inpanting 기반의 복원 기법의 설계와 구현," 서울시립대학교:석사논문, 1999.
5 R. Gonzalez and R. Woods, Digital image processing using matlab, 2nd ed., PrenticeHall, 2002.
6 V. Bruni and D. Vitulano, "A generalized model for scratch detection," IEEE Transactions on Image Processing, 13(1), January 2004, pp. 44-50.   DOI   ScienceOn
7 R. Gonzalez and R. Woods, Digital image processing, 3rd ed., Prentice Hall, 2009.
8 전신영, 이은성, 김상진, 백준기, "공간-주파수 적응적 영상복원을 위한 Vaguelette-Wavelet 분석 기술," 대한전자공학회 논문지, 46권, SP편, 6호, 112-122쪽, 2009년 11월.
9 I. Daubechies, Ten lectures on wavelets, Society for Industrial and Applied Mathmatics, 1992.
10 S. Mallat, A Wavelet Tour of Signal Processing, New York: Academic Press, 1998.
11 윤진영, 유윤종, 전신영, 신정호, 백준기, "웨이블릿 변환을 이용한 영상복원의 물결현상 제거 방법," 대한전자공학회논문지, 45권, SP편, 6호, 611-620쪽, 2008년 11월.
12 김경태, 고은정, 김은이, "공간적인 정보 기반의 디지털 필름 스크래치 복원", 한국컴퓨터종합학술대회, 2007.
13 D. Donoho, "Nonlinear solution of linear inverse problems by wavelet-vaguelette decomposition," Applied Computational and Harmonic Analysis, vol. 2, pp. 101-26, 1995.   DOI
14 F. Abramovich and B. Silverman, "Wavelet decomposition approaches to statistical inverse problems," Biometrika, vol. 85, no. 1, pp. 115-129, 1998.   DOI   ScienceOn