Discussion

Journal of the American Statistical Association

Volumn 96, Issue 455, 2001, Pages 963-964

  Solo, V ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84857401321     PISSN: 01621459     EISSN: 1537274X     Source Type: Journal    
DOI: None     Document Type: Article

References (14)

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3. Donoho, D. L., Johnstone, I. M., Hock, J. C., and Stern, A. S. (1992), “Maximum Entropy and the Nearly Black Object,” Journal of the Royal Statistical Society, Ser. B, 54, 41–81.
4. Johnstone, I., and Silverman, B. (1997), “Wavelet Threshold Estimators for Data With Correlated Noise,” Journal of the Royal Statistical Society, Ser. B, 59, 319–352.
5. Li, S. (1995), “On Discontinuity-Adaptive Smoothness Priors in Computervision,” IEEE Transactions in Pattern Analysis and Machine Intelligence, 17, 576–586.
6. Ng, L., and Solo, V. (1997), “A Data-Driven Method for Choosing Smoothing Parameters in Optical Flow Problems,” in Proceedings of IEEE International Conference on Image Processing 1997, pp. 3:360–363.
7. Ng, L., and Solo, V. (1999), “Optical Flow Estimation Using Adaptive Wavelet Zeroing,” in Proceedings of IEEE International Conference on Image Processing 1999, Kobe, Japan.
8. Rudin, L., Osher, S., and Fatemi, E. (1992), “Nonlinear Total Variation Based Noise Removal Algorithms,” Physica D, 60, 259–268.
9. Solo, V. (1996), “A SURE-Fired Way to Choose Smoothing Parameters in Ill-Conditioned Inverse Problems,” in Proceedings of IEEE International Conference on Image Processing 1996. (vol. 3), pp. 89–92.
10. Solo, V. (1998), “Wavelet Signal Estimation in Coloured Noise With Extension to Transfer Function Estimation,” in Proceedings of the 37th IEEE Conference on Decision and Control, pp. 3040–3041.
11. Solo, V. (1999), “Selection of Regularization Parameters for Total Variation Denoising,” in Proceedings of International Conference on Acoustics Speech and Signal Processing 1999, IEEE, vol. 3, no. 2239, pp. 3.
12. Solo, V. (2000), “Total Variation Denoising in Coloured Noise,” in Proceedings of International Conference on Acoustics Speech and Signal Processing 2000, IEEE.
13. Stevenson, R., Schmitz, B., and Delp, E. (1994), “Discontinuity Preserving Regularization of Inverse Visual Problems,” IEEE Transactions in Systems Man and Cybernetics, 24, 455–469.
14. Vogel, C., and Oman, M. E. (1996), “Iterative Methods for Total Variation Denoising,” S IAM Journal on Scientific and Statistical Computing, vol. 17, no. 1, pp. 227–238.