Block-based noise estimation using adaptive Gaussian filtering

IEEE Transactions on Consumer Electronics

Volumn 51, Issue 1, 2005, Pages 218-226

  Shin, Dong Hyuk ^a   Park, Rae Hong ^a   Yang, Seungjoon ^b   Jung, Jae Han ^b  

^a Sogang University   (South Korea)

^b SAMSUNG Electronics   (South Korea)

Author keywords

Adaptive Gaussian fitering; Block based noise estimation; Denoising; Gaussian noise; Noise estimation; Noise reduction

Indexed keywords

ALGORITHMS; DIGITAL TELEVISION; GAUSSIAN NOISE (ELECTRONIC); IMAGE PROCESSING; VIDEO SIGNAL PROCESSING; WHITE NOISE;

ADAPTIVE GAUSSIAN FILTERING; BLOCK BASED NOISE ESTIMATION; DENOISING; NOISE ESTIMATION;

ADAPTIVE FILTERING;

EID: 18844394000     PISSN: 00983063     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCE.2005.1405723     Document Type: Article

References (16)

1. A. M. Tekalp, Digital Video Processing. Upper Saddle River, NJ: Prentice-Hall, 1995.
2. L. Sendur and I. W. Selesnick, "Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency," IEEE Trans. Signal Processing, vol. 50, pp. 2744-2756, Nov. 2002.
3. B. Tang, G. Sapiro, and V. Caselles, "Color image enhancement via chromaticity diffusion," IEEE Trans. Image Processing, vol. 10, pp. 701-707, May 2001.
4. K. J. Boo and N. K. Bose, "A motion-compensated spatio-temporal filter for image sequences with signal-dependent noise," IEEE Trans. Circuits Sys. Video Technol., vol. 8, pp. 287-298, June 1998.
5. M. K. Ozkan, M. I. Sezan, and A. M. Tekalp, "Adaptive motion-compensated filtering of noisy image sequences," IEEE Trans. Circuits Sys. Video Technol., vol. 3, pp. 277-290, Aug. 1993.
6. J. Kim and J. W. Woods, "3-D Kaman filter for image motion estimation," IEEE Trans. Image Processing, vol. 7, pp 42-52, Jan. 1998.
7. G. de Haan, T. Kwaaitaal-Spassova, and O.A. Ojo, "Automatic 2-D and 3-D noise filtering for high-quality television receivers," in Proc. Int. Workshop Signal Process. and HDTV, Turin, Italy, Mar. 1996, vol. VI, pp. 221-230.
8. J. Canny, "A computational approach to edge detection," IEEE Trans. Pattern Anal. Machine Intell., vol. 9, pp. 679-698, Nov. 1986.
9. P. L. Rosin, "Thresholding for change detection," in Proc. IEEE Int. Conf. Computer Vision, Bombay, India, Jan. 1998, pp. 274-279.
10. F. Russo, "A method for estimation and filtering of Gaussian noise in images," IEEE Trans. Instrum. Meas., vol. 52, pp. 1148-1154, Aug. 2003.
11. J. S. Lee and K. Hoppel, "Noise modeling and estimation of remotely-sensed images," in Proc. 1989 Int. Geoscience and Remote Sensing, Vancouver, Canada, June 1989, vol. 2, pp. 1005-1008.
12. A. Amer, A. Mitiche, and E. Dubois, "Reliable and fast structure-oriented video noise estimation," in Proc. IEEE Int. Conf. Image Processing, Montreal, Quebec, Canada, Sep. 2002, vol. 1, pp. 840-843
13. S. I. Olsen, "Estimation of noise in images: An evaluation," Graphical Models and Image Process., vol. 55, pp. 319-323, July 1993.
14. K. Rank, M. Lendl, and R. Unbehauen, "Estimation of image noise variance," IEE Proc. Vis. Image Signal Process., vol. 146, pp. 80-84, Apr. 1999.
15. D. L. Donoho and I. M. Johnstone, "Ideal spatial adaptation by wavelet shrinkage," Biometrika, vol. 81, pp. 425-455, Apr. 1994.
16. L. Tenze, S. Carrato, and S. Olivieri, "Design and real-time implementation of a low-cost noise reduction system for video applications," Signal Processing, vol. 84, pp. 453-466, Mar. 2004.