Image feature and noise detection based on statistical hypothesis tests and their applications in noise reduction

IEEE Transactions on Consumer Electronics

Volumn 51, Issue 4, 2005, Pages 1367-1378

  Kim, Yeong Hwa ^a,b   Lee, Jaeheon ^a,b  

^a Chung Ang University ^*

^b Chung Ang University   (South Korea)

Author keywords

Chi squared distribution; Feature and noise detection; Image processing; Order statistics; Statistical hypothesis test

Indexed keywords

ALGORITHMS; CONSUMER ELECTRONICS; DIGITAL TELEVISION; IMAGE ENHANCEMENT; OPTICAL CORRELATION; STATISTICAL TESTS;

CHI SQUARED DISTRIBUTION; NOISE DETECTION; ORDER STATISTICS; STATISTICAL HYPOTHESIS TESTS;

NOISE ABATEMENT;

EID: 33947668893     PISSN: 00983063     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCE.2005.1561869     Document Type: Article

References (18)

1. G. de Haan, T. KwaaitaaI-Spassova, and O. A. Ojo, "Automatic 2-D and 3-D noise filtering for high-quality television receivers," Pro. Int. Workshop on Signal Processing and HDTV, vol. VI, Turin, Italy, 1996.
2. H. Chen, A. Li, L. Kaufman, and J. Hale, "A fast filtering algorithm for image enhancement," IEEE Trans. Med. Imaging, vol. 13, Sep. 1994.
3. J. S. Lee, "Digital image smoothing and the sigma filter," Proc. Int. Computer Vision, Graphics and Image Processing, vol. 24, 1983.
4. C. H. Kuo and A. H. Tewfik, "Multiscale sigma filter and active contour for image segmentation," Proc. ICIP, vol. 1, Oct. 1999.
5. Y.-T. Kim and S. H. Kim, "Motion decision feedback deinterlacing algorithms," Proc. ICIP, vol. 3, June 2002.
6. M. K. Ozkan, M. I. Sezan, and A. M. Tekalp, "Adaptive motion compensated filtering of noisy image sequences," IEEE Trans. Circuits Syst. Video Technol., vol. 3, Aug. 1993.
7. K. Rank, M. Lendl, and R. Unbehauen, "Estimation of image noise variance," Proc. IEEE Vis. Image Signal Process, vol. 146, no. 2, Apr. 1999.
8. J. S. Lee and K. Hoppel, "Noise modeling and estimation of remotely sensed images," Proc. Int. Geoscience and Remote Sensing, Vanvouver, Canad, June 1989.
9. S. L. Olsen, "Estimation of noise in image: An evaluation," Graphical Model and Image Process., vol. 55., July 1993.
10. D.-H. Shin, R.-H. Park, S. Yang, and J.-H. Jung, "Block-based noise estimation using adaptive Gaussian Filtering," IEEE Trans. Consum. Electron., vol. 51, no. 1, Feb. 2005.
11. A. Amer and E. Dubois, "Fast and reliable structure-oriented video noise estimation," IEEE Trans. Circuits Syst. Video Technol., vol. 15, no. 1, Jan. 2005.
12. Y.-H. Kim, "Methods for classifying noise and feature information from an image" filed and pending for Korean Patent.
13. H. O. Hartley, "The use of range in analysis of variance," Biometrika, vol. 37, pp. 271-280, 1950a.
14. H. O. Hartley, "The maximum F-ratio as a short cut test for heterogeneity of variance," Biometrika, vol. 37, pp. 308-312, 1950b.
15. Y.-H. Kim, "Statistical image processing system for recognizing feature/noise and the methods thereof," filed and pending for Korean Patent
16. M. Hollander and D. A. Wolfe, Nonparametric Statistical Methods, 2nd ed., John Wiley & Sons, Inc., 1999.
17. W. H. Kruskal and W. A. Wallis, "Use of ranks in one-criterion variance analysis," J. Am. Stat. Assoc., vol. 47, pp. 583-621, 1952.
18. H. Levene, In Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling, I. Olkin et al. eds., Stanford University Press, pp. 278-292, 1960.