3.6 – Regularization in Image Restoration and Reconstruction
暂无分享,去创建一个
[1] O. Axelsson. Iterative solution methods , 1995 .
[2] G. Wahba. Spline models for observational data , 1990 .
[3] Per Christian Hansen,et al. Rank-Deficient and Discrete Ill-Posed Problems , 1996 .
[4] Gene H. Golub,et al. Regularization by Truncated Total Least Squares , 1997, SIAM J. Sci. Comput..
[5] I. Johnstone,et al. Maximum Entropy and the Nearly Black Object , 1992 .
[6] Gene H. Golub,et al. Matrix computations , 1983 .
[7] R. Kress. Linear Integral Equations , 1989 .
[8] W. F. Tinney,et al. On computing certain elements of the inverse of a sparse matrix , 1975, Commun. ACM.
[9] Donald Geman,et al. Nonlinear image recovery with half-quadratic regularization , 1995, IEEE Trans. Image Process..
[10] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[11] Peyman Milanfar,et al. Reconstructing Binary Polygonal Objects from Projections: A Statistical View , 1994, CVGIP Graph. Model. Image Process..
[12] Florin Popentiu,et al. Iterative identification and restoration of images , 1993, Comput. Graph..
[13] D. Donoho. Nonlinear Solution of Linear Inverse Problems by Wavelet–Vaguelette Decomposition , 1995 .
[14] Michel Barlaud,et al. Deterministic edge-preserving regularization in computed imaging , 1997, IEEE Trans. Image Process..
[15] Avinash C. Kak,et al. Principles of computerized tomographic imaging , 2001, Classics in applied mathematics.
[16] W. Clem Karl,et al. A curve evolution approach to object-based tomographic reconstruction , 2003, IEEE Trans. Image Process..
[17] Per Christian Hansen,et al. REGULARIZATION TOOLS: A Matlab package for analysis and solution of discrete ill-posed problems , 1994, Numerical Algorithms.
[18] Peter J. Huber,et al. Robust Statistics , 2005, Wiley Series in Probability and Statistics.
[19] H. Engl,et al. Regularization of Inverse Problems , 1996 .