Automatic restoration of corrupted regions in images using object width transform
Article No.: 72, Pages 1 - 5
Abstract
Natural scene images are usually corrupted by dust, streaks, shadows, or small unwanted objects such as tree branches. In this paper, a new method based on object width transform is proposed to automatically detect and restore corrupted regions in images. First, the input image is converted into a width map that contains the width information of objects in the image. Based on this width map, corrupted regions are detected. Finally, the corrupted regions are restored using adaptive median filter or image completion algorithm. The experimental results attained in many real images show the effectiveness of the proposed method.
References
[1]
S. Masnou and J. Morel, "Level lines based disocclusion," Proc. ICIP, pp. 259--263, 1998.
[2]
M. Bertalmio, G. Sapiro, V. Caselles and C. Ballester, "Image inpainting," Proc. SIGGRAPH, pp. 417--424, 2000.
[3]
A. Rares, M. J. T. Reinders and J. Biemond, "Edge-based image restoration," IEEE Transactions on Image Processing, vol. 14, no. 10, pp. 1454--1468, 2005.
[4]
D. Z. M.-F. Auclair-Fortier, "A global approach for solving evolutive heat transfer for image denoising and inpainting," IEEE Transactions on Image Processing, vol. 15, no. 9, pp. 2558--2574, 2006.
[5]
D. J. Heeger and J. R. Bergen, "Pyramid-based texture analysis/synthesis," Proc. SIGGRAPH, pp. 229--238, 1995.
[6]
A. Efros and T. Leung, "Texture synthesis by non-parametric ampling," Proc. ICCV, pp. 1033--1038, 1999.
[7]
W.-C. Lin, J. Hays, C. Wu, Y. Liu and V. Kwatra, "Quantitative evaluation of near regular texture synthesis algorithms," Proc. CVPR, pp. 427--434, 2006.
[8]
M. Bertalmio, L. Vese, G. Sapiro and S. Osher, "Simultaneous structure and texture image inpainting," Proc. CVPR, pp. 707--710, 2003.
[9]
I. Drori, D. Cohen-Or and H. Yeshurun, "Fragment-based image completion," Proc. SIGGRAPH, ACM Press, pp. 303--312, 2003.
[10]
P. P. A. Criminisi and K. Toyama, "Region filling and object removal by exemplar-based inpainting," IEEE Trans. Image Processing, vol. 13, no. 9, pp. 1200--1212, 2004.
[11]
Y. Wexler, E. Shechtman and M. Irani, "Space-Time Video Completion," Proc. CVPR, pp. 120--127, 2004.
[12]
K. Garg and S. K. Nayar, "Detection and removal of rain from videos," Proc. CVPR, pp. I-528-I-535 Vol.521, 2004.
[13]
H. Hase, K. Miyake and M. Yoneda, "Real-time snowfall noise elimination," Proc. ICIP, pp. 406--409 vol.402, 1999.
[14]
H. Suzuki, T. Tamaki and M. Yamamoto, "Extraction and Elimination of Parallel Obstacles for Image Restoration," Proc. FCV, pp. 25--30, 2004.
[15]
L. Yanxi, T. Belkina, J. H. Hays and R. Lublinerman, "Image de-fencing," Proc. CVPR, pp. 1--8, 2008.
[16]
M. Park, K. Brocklehurst, R. T. Collins and Y. Liu, "Image de-fencing revisited," Proc. ACCV, Springer-Verlag, pp. 422--434, 2011.
[17]
T. Tamaki and H. Suzuki, "String-Like Occluding Region Extraction for Background Restoration," Proc. ICPR, pp. 615--618, 2006.
[18]
T. Nguyen, J. Park, S. Kim, H. Park and G. Lee, "Automatically improving image quality using tensor voting," Neural Computing & Applications, vol. 20, no. 7, pp. 1017--1026, 2011.
[19]
B. Epshtein, E. Ofek and Y. Wexler, "Detecting text in natural scenes with stroke width transform," Proc. Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pp. 2963--2970, 2010.
[20]
J. Canny, "A Computational Approach to Edge Detection," IEEE Trans. on PAMI, vol. PAMI-8, no. 6, pp. 679--698, 1986.
Index Terms
- Automatic restoration of corrupted regions in images using object width transform
Recommendations
Automatic Image Restoration Based on Tensor Voting
ICONIP '09: Proceedings of the 16th International Conference on Neural Information Processing: Part IAn automatic image restoration method is proposed for text images despite severe occlusion and noise. 3D tensor voting framework is used to analyze surface areas to detect corrupted regions. These corrupted regions are then restored by an adaptive ...
Noisy image restoration based on boundary resetting BDND and median filtering with smallest window
In this paper, a restoration approach for noisy image is proposed where a boundary resetting boundary discriminative noise detection (BRBDND) and a median filtering with smallest window (MFSW) are applied. In the proposed image restoration approach, two ...
Restoration of images corrupted with blur and impulse noise
ICCCS '11: Proceedings of the 2011 International Conference on Communication, Computing & SecurityImage restoration degraded observation has been a long standing problem in image processing. Number of techniques has been proposed in the past to encounter such problems. Image deblurring in the presence of impulse noise has been discussed here. We ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
February 2012
852 pages
ISBN:9781450311724
DOI:10.1145/2184751
- Conference Chairs:
- Suk-Han Lee,
- Lajos Hanzo,
- Roslan Ismail,
- Program Chairs:
- Dongsoo S. Kim,
- Min Young Chung,
- Sang-Won Lee
Copyright © 2012 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Sponsors
- SIGAPP: ACM Special Interest Group on Applied Computing
- SKKU: SUNGKYUNKWAN UNIVERSITY
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 20 February 2012
Check for updates
Author Tags
Qualifiers
- Research-article
Funding Sources
Conference
ICUIMC '12
Sponsor:
- SIGAPP
- SKKU
ICUIMC '12: The 6th International Conference on Ubiquitous Information Management and Communication
February 20 - 22, 2012
Kuala Lumpur, Malaysia
Acceptance Rates
Overall Acceptance Rate 251 of 941 submissions, 27%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 105Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 04 Oct 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in