Noise estimation from a single image

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 1, Issue , 2006, Pages 901-908

  Liu, Ce ^a   Freeman, William T ^a   Szeliski, Richard ^b   Kang, Sing Bing ^b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BILATERAL FILTERING; IMAGE NOISE LEVEL; NOISE ESTIMATION;

ALGORITHMS; CAMERAS; CHARGE COUPLED DEVICES; COMPUTER VISION; EDGE DETECTION;

SPURIOUS SIGNAL NOISE;

EID: 33845576117     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2006.207     Document Type: Conference Paper

References (20)

1. S. Baker and I. Matthews. Lucas-Kanade 20 years on: a unifying framework. Int'l Journal on Compter Vision, 56(3):221-255, 2004.
2. J. Canny. A computational approach to edge detection. IEEE Trans. on Pattern Analysis and Machine Intelligence, 8(6):679-698, 1986.
3. D. Donoho. De-noising by soft-thresholding. IEEE Transactions on Information Theory, 41(3):613-627, 1995.
4. M. Evans, N. Hastings, and B. Peacock. Statistical Distributions. A Wiley-Interscience Publication, 2000.
5. W. T. Freeman, E. C. Pasztor, and O. T. Carmichael. Learning low-level vision. Int'l Journal on Compter Vision, 40(1):25-47, 2000.
6. M. D. Grossberg and S. K. Nayar. Modeling the space of camera response functions. IEEE Trans. on Pattern Analysis and Machine Intelligence, 26(10):1272-1282, October 2004.
7. G. E. Healey and R. Kondepudy. Radiometrie CCD camera calibration and noise estimation. IEEE Trans. on Pattern Analysis and Machine Intelligence, 16(3):267-276, March 1994.
8. C. Laroche and M. Prescott. Apparatus and Methods for Adaptively Interpolating a Full Color Image Utilizaing Chrominance Gradients. U.S. Patent No. 5,373,322 (1994).
9. D. Lowe. Object recognition from local scale-invariant features. In Proc. IEEE Int'l Conf. Computer Vision, pages 1150-1157, 1999.
10. 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. IEEE Int'l Conf. Computer Vision, volume 2, pages 416-423, July 2001.
11. P. Perona and J. Malik. Scale-space and edge detection using anisotropic diffusion. IEEE Trans. on Pattern Analysis and Machine Intelligence, 12(7):629-639, 1990.
12. J. Portilla, V. Strela, M. J. Wainwright, and E. P. Simoncelli. Image denoising using scale mixtures of Gaussians in the wavelet domain. IEEE Transactions on Image Processing, 12(11):1338-1351, Nov 2003.
13. R. Ramanath, W. E. Snyder, G. L. Bilbro, and W. A. Sander III. Demosaicking methods for Bayer color arrays. Journal of Electronic Imaging, 11(3):306-315, July 2002.
14. W. F. Schreiber. Fundamentals of electronic imaging systems. Springer-Verlag, 1986.
15. A. Stefano, P. White, and W. Collis. Training methods for image noise level estimation on wavelet components. EURASIP Journal on Applied Signal Processing, 16:2400-2407, 2004.
16. G. Strang. Introduction to Applied Mathematics. Wellesley-Cambridge Press, 1986.
17. C. Tomasi and R. Manduchi. Bilateral filtering for gray and color images. In Proc. IEEE Int'l Conf. Computer Vision, pages 839-846, 1998.
18. Y. Tsin, V. Ramesh, and T. Kanade. Statistical calibration of CCD imaging process. In Proc. IEEE Int'l Conf. Computer Vision, pages 480-487, 2001.
19. R. Zhang, P. Tsai, J. Cryer, and M. Shah. Shape from shading: A survey. IEEE Trans. on Pattern Analysis and Machine Intelligence, 21(8):690-706, 1999.
20. C. L. Zitnick, N. Jojic, and S. B. Kang. Consistent segmen tation for optical flow estimation. In Proc. IEEE Int'l Conf. Computer Vision, pages 1308-1315, 2005.