A literature survey on blur detection algorithms for digital imaging

Proceedings - 1st International Conference on Artificial Intelligence, Modelling and Simulation, AIMS 2013

Volumn , Issue , 2014, Pages 272-277

  Koik, Boon Tatt ^a   Ibrahim, Haidi ^a  

^a SCHOOL OF PHYSICS   (Malaysia)

Author keywords

blur classification; blur detection; Digital image; image enhancement; image restoration; image segmentation; literature review; literature survey

Indexed keywords

IMAGE ENHANCEMENT; IMAGE RECONSTRUCTION; RESTORATION; SIGNAL DETECTION; SUPPORT VECTOR MACHINES; SURVEYS;

BAYES DISCRIMINANT FUNCTIONS; BLUR DETECTION; DIGITAL IMAGE; IMAGE DE CONVOLUTIONS; LITERATURE REVIEWS; LITERATURE SURVEY; REAL-LIFE APPLICATIONS; WAVELET BASED HISTOGRAM;

IMAGE SEGMENTATION;

EID: 84917708775     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AIMS.2013.50     Document Type: Conference Paper

References (27)

1. B. Su, S. Lu, and C. L. Tan, "Blurred image region detection and classification," In: ACM Multimedia 2011, MM'11, pp. 1397-1400,2011.
2. J. D. Rugna, and H. Konik, "Automatic blur detection for metadata extraction in content-based retrieval context," In: Proc. SPIE, vol. 5304, pp. 285-294, 2003.
3. A. Levin, "Blind motion deblurring using image statistics," In Neural Information Processing Systems, NIPS, pp. 841-848, 2006.
4. J. H. Elder, and S. W. Zucker, "Local scale control for edge detection and blur estimation," Pattern Analysis and Machine Intelligence, PAMI, vol. 20, no. 7, pp. 699-716, 1998.
5. Wang Wei, Zheng Jin-jin, Liu Xing, and Hen Lian-guan, "Adaptive detection method of degraded parameters in motion blur image," 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), pp. 2158-2162, 2011.
6. Q. R. Razligh, and N. Kehtarnavaz, "Image blur reduction for cellphone cameras via adaptive tonal correction," In International Conference on Image Processing, ICIP, pp. 113-116, 2007.
7. R. Fergus, B. Singh, A. Hertzmann, S.T. Roweis, and W. T. Freeman, "Removing Camera Shake from a Single Photograph," Association for Computing Machinery, ACM Transactions on Graphics, vol. 25, pp. 787-794, 2006.
8. Qi Shan, Jiaya Jia, and A. Agarwala, "High-quality motion deblurring from a single image," Association for Computing Machinery, ACM Transactions on Graphics, vol. 27, Article No. 73 2008.
9. Y. Chung, J. Wang, R. Bailey, S. Chen, and S. Chang, "A nonparametric blur measure based on edge analysis for image processing applications," Institute of Electrical and Electronics Engineers, IEEE Conference on Cybernetics and Intelligent Systems, pp. 356-360 vol. 1, 2004
10. Smith and Leslie N. Estimating an image's blur kernel from edge intensity profiles. Naval Research Lab Washington D.C. Applied Optics Branch, No. NRL/MR/5660-12-9393, 2012.
11. W. T. Freeman and E. H. Adelson, "The design and use of steerable filters," Pattern Analysis and Machine Intelligence, PAMI, vol. 13, no. 9, pp. 891-906, 1991.
12. W. Zhang and F. Bergholm, "Multi-scale blur estimation and edge type classification for scene analysis," International Journal of Computer Vision, vol. 24, no. 3, pp. 219-250, 1997.
13. C. Kim, "Segmenting a low-depth-of-field image using morphological filters and region merging," Institute of Electrical and Electronics Engineers, IEEE Transactions on Image Processing, vol. 14, no. 10, pp. 1503-1511, 2005.
14. J. Z. Wang, J. Li, R. M. Gray, and G. Wiederhold, "Unsupervised multi-resolution segmentation for images with low depth of field," Pattern Analysis and Machine Intelligence, PAMI, vol. 23, no. 1, pp. 85-90, 2001.
15. R. Datta, D. Joshi, J. Li, and J. Z. Wang, "Studying aesthetics in photographic images using a computational approach," In European Conference on Computer Vision, ECCV, vol. 3, pp. 288-301, 2006.
16. Jufeng Zhao, Huajun Feng, Zhihai Xu, Qi Li, and Xiaoping Tao. Automatic blur region segmentation approach using image matting. Signal, Image and Video Processing, pages 1-9, 2012.
17. R. Fergus, B. Singh, A. Hertzmann, S. T. Roweis, and W. T. Freeman, "Removing camera shake from a single photograph," Association for Computing Machinery, ACM Trans. Graph., vol. 25, no. 3, pp. 787-794, 2006.
18. J. Jia, "Single image motion de-blurring using transparency," In Computer Vision and Pattern Recognition, CVPR, pp. 1-8, 2007.
19. L. Kovács and T. Szirányi, "Focus area extraction by blind deconvolution for defining regions of interest," Institute of Electrical and Electronics Engineers, IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 29, pp. 1080-1085, 2007.
20. L. Bar, B. Berkels, M. Rumpf, and G. Sapiro, "A variational framework for simultaneous motion estimation and restoration of motion-blurred video," In International Conference on Computer Vision, ICCV, pp. 1-8, 2007.
21. A. Levin, "Blind motion de-blurring using image statistics," In Neural Information Processing Systems, NIPS, pp. 841-848, 2006.
22. Jaeseung Ko, and Changick Kim, "Low cost blur image detection and estimation for mobile devices," Advanced Communication Technology, 2009. International Conference on Advanced Computing Technologies, ICACT 2009. 11th International Conference on, vol. 3, pp. 1605-1610, 15-18 Feb. 2009.
23. Liu Debing, Chen Zhibo, Ma Huadong, Xu Feng, and Gu Xiaodong, "No reference block based blur detection," Quality of Multimedia Experience, QoMEx. International Workshop on, pp. 75-80, 29-31 July 2009.
24. Xiaogang Chen; Jie Yang; Qiang Wu; Jiajia Zhao, "Motion blur detection based on lowest directional high-frequency energy," Image Processing (ICIP), 2010 17th IEEE International Conference on, vol., no., pp 2533-2536, 26-29 Sept. 2010.
25. R. Liu, Z. Li, J. Jia, "Image partial blur detection and classification," CVPR, June, pp. 1-8, 2008
26. Kanchev, V.; Tonchev, K.; Boumbarov, O., "Blurred image regions detection using wavelet-based histograms and SVM," Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on, vol. 1, no., pp. 457-461, 15-17 Sept. 2011
27. Moorthy, A.K.; Bovik, A.C., "Statistics of natural image distortions," Acoustics Speech and Signal Processing (ICASSP), 2010 Institute of Electrical and Electronics Engineers, IEEE International Conference on, vol., no., pp. 962-965, 14-19 March 2010