Scale invariance and noise in natural images

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2009, Pages 2209-2216

  Zoran, Daniel ^a   Weiss, Yair ^a  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

HIGH FREQUENCY FILTERS; LOW-LEVEL VISION; LOWER FREQUENCIES; NATURAL IMAGES; NOISE ESTIMATION; SCALE INVARIANCE; SCALE INVARIANT; STANDARD DEVIATION;

BANDPASS FILTERS; COMPUTER VISION; WHITE NOISE;

DISCRETE COSINE TRANSFORMS;

EID: 77953221420     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2009.5459476     Document Type: Conference Paper

References (19)

1. M. Bethge. Factorial coding of natural images: how effective are linear models in removing higher-order dependencies? 23(6):1253-1268, June 2006.
2. B. Corner, R. Narayanan, and S. Reichenbach. Noise estimation in remote sensing imagery using data masking. International Journal of Remote Sensing, 24(4):689-702, 2003.
3. A. De Stefano, P. R. White, and W. B. Collis. Training methods for image noise level estimation on wavelet components. EURASIP J. Appl. Signal Process., 2004(1):2400-2407, 2004.
4. J. Domínguez-Molina, G. González-Farías, R. Rodríguez-Dagnino, and I. Monterrey. A practical procedure to estimate the shape parameter in the generalized Gaussian distribution. technique report I-01-18-eng.pdf, available through http://www.cimat.mx/reportes/enlinea/I-01-18- eng.pdf.
5. M. Grossberg and S. Nayar. What is the Space of Camera Response Functions? In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume II, pages 602-609, Jun 2003.
6. E. Lam and J. Goodman. A mathematical analysis of the dct coefficient distributions for images. Image Processing, IEEE Transactions on, 9(10):1661-1666, Oct 2000.
7. A. Levin, R. Fergus, F. Durand, and W. T. Freeman. Image and depth from a conventional camera with a coded aperture. In SIGGRAPH '07: ACM SIGGRAPH 2007 papers, page 70, New York, NY, USA, 2007. ACM.
8. C. Liu, R. Szeliski, S. Bing Kang, C. L. Zitnick, and W. T. Freeman. Automatic estimation and removal of noise from a single image. IEEE Trans. Pattern Anal. Mach. Intell., 30(2):299-314, 2008.
9. D. Martin, C. Fowlkes, D. Tal, and J. Malik. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In Proc. 8th Int'l Conf. Computer Vision, volume 2, pages 416-423, July 2001.
10. K. Rank, M. Lendl, and R. Unbehauen. Estimation of image noise variance. In Vision, Image and Signal Processing, IEE Proceedings-, volume 146, pages 80-84, 1999.
11. S. Roth and M. Black. Fields of Experts: A Framework for Learning Image Priors. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume 2, page 860. IEEE Computer Society; 1999, 2005.
12. S. Roth and M. Black. On the Spatial Statistics of Optical Flow. International Journal of Computer Vision, 74(1):33-50, 2007.
13. D. L. Ruderman. Origins of scaling in natural images. Vision Research, 37:3385-3398, 1997.
14. D. L. Ruderman and W. Bialek. Statistics of natural images: Scaling in the woods. In NIPS, pages 551-558, 1993.
15. A. Srivastava, A. B. Lee, E. P. Simoncelli, and S.-C. Zhu. On advances in statistical modeling of natural images. J. Math. Imaging Vis., 18(1):17-33, 2003.
16. M. Tappen and W. Freeman. Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters. In IEEE International Conference on Computer Vision, volume 2, pages 900-906, 2003.
17. J. van Hateren. Independent component filters of natural images compared with simple cells in primary visual cortex. Proceedings of the Royal Society B: Biological Sciences, 265(1394):359-366, 1998.
18. Y. Weiss and W. Freeman. What makes a good model of natural images? Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on, pages 1-8, June 2007.
19. V. Zlokolica, A. Pizurica, and W. Philips. Noise Estimation for Video Processing Based on Spatio-Temporal Gradients. IEEE SIGNAL PROCESSING LETTERS, 13(6):337, 2006.