Noise estimation for video processing based on spatio-temporal gradients

IEEE Signal Processing Letters

Volumn 13, Issue 6, 2006, Pages 337-340

  Zlokolica, Vladimir ^a   Pižurica, Aleksandra ^a,b   Philips, Wilfried ^a  

^a GHENT UNIVERSITY   (Belgium)

^b Fund for Scientific Research of Flanders (FWO)   (Belgium)

Author keywords

Noise estimation; Video analysis and processing; Wavelets

Indexed keywords

NOISE ESTIMATION; VIDEO ANALYSIS; WHITE GAUSSIAN NOISE;

ALGORITHMS; ESTIMATION; GAUSSIAN NOISE (ELECTRONIC); GRADIENT METHODS; WAVELET TRANSFORMS; WHITE NOISE;

VIDEO SIGNAL PROCESSING;

EID: 33646875924     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2006.870481     Document Type: Article

References (15)

1. G. De Haan, Video Processing for Multimedia Systems. Eindhoven, The Netherlands: Univ. Press Eindhoven, 2003.
2. J. O. Drewery, R. Storey, and N. E. Tanton, Video Noise Reduction BBC Research Dept. Rep. BBC RD 1984/7, 1984.
3. R. Bracho and A. C. Sanderson, "Segmentation of image based on intensity gradient information," in Proc. Conf. Computer Vision Pattern Recognition, San Francisco, CA, 1985.
4. K. Rank, M. Lendi, and R. Ubenhauer, "Estimation of image noise variance," Proc. Inst. Elect. Eng., Vision, Image, Signal Process., vol. 146, no. 2, pp. 80-84, Apr. 1999.
5. V. Van De Dimitri, M. Nachtegael, D. Van Der Weken, E. E. Kerre, W. Philips, and I. Lemahieu, "Noise reduction by fuzzy image filtering," IEEE Trans. Fuzzy Syst., vol. 11, no. 4, pp. 429-434, Aug. 2003.
6. V. Zlokolica and W. Philips, "Motion-detail adaptive k-nn filter video denoising," in Proc. SPIE Electronic Imaging 5298-47, San Jose, CA, Jan. 2004.
7. A. De Stefano, P. R. White, and W. B. Collis, "Noise level estimation on wavelet components," J. Appl. Signal Process., Special Issue on Non-Linear Signal and Image Processing - Part 2, pp. 1947-1956, 2004.
8. A. Amer and E. Dubois, "Fast and reliable structure-oriented video noise estimation," IEEE Trans. Circuits Syst. Video Technol., vol. 15, no. 1, pp. 113-118, Jan. 2005.
9. B. C. Song and K. W. Chun, "Noise power estimation for effective de-noising in a video encoder," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, Philadelphia, PA, Apr. 2005, pp. 357-360.
10. S. I. Olsen, "Estimation of noise in images: An evaluation," Comput. Vis. Graph. Image Process., vol. 55, no. 14, pp. 319-323, 1993.
11. W. I. Selesnick and K. Y. Li, "Video denoising using 2D and 3D dualtree complex wavelet transforms," in Proc. Wavelet Applications Signal Image Processing (Proc. SPIE 5207), San Diego, CA, Aug. 2003.
12. J. C. Ye and M. Van Der Schaar, "Fully scalable 3-D overcomplete wavelet video coding using adaptive motion compensated temporal filtering," in Proc. SPIE Video Communications Image Processing, 2003.
13. D. L. Donoho and I. M. Johnstone, "Ideal spatial adaption by wavelet shrinkage," Biometrika, vol. 8, pp. 425-455, 1994.
14. S. Mallat, A Wavelet Tour of Signal Processing, 2nd ed. London, U.K.: Academic, 1999, Oval Road.
15. S. Kokoska and D. Zwillinger, Standard Probability and Statistics Tables: Student Edition. Boca Raton, FL: CRC, 2000.