1 |
M. Bertero and P. Boccacci, "A Simple Method for The Reduction of Boundary Effects in The Richardson-Lucy Approach to Image Deconvolution," Astronomy and Astrophysics, Vol. 437, No. 1, pp. 369-374, 2005.
DOI
ScienceOn
|
2 |
N.-Y. Lee and B. Lucier, Preconditioned Conjugate Gradient Method for Boundary Artifacts-free Image Deblurring, Technical Report 3-CNA-011, Center for Nonlinear Analysis, Carnegie Mellon University, 2013 (Submitted).
|
3 |
G. L. Zeng and C. T. Gullberg, "Unmatched Projector/Backprojector Pairs in an Iterative Reconstruction Algorithm," IEEE Transaction on Medical Imaging, Vol. 19, No. 5, pp. 548- 555, 2000.
DOI
ScienceOn
|
4 |
D. Calvetti, and E. Somersalo, "Bayesian Image Deblurring and Boundary Effects," Proceeding of Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 5910, pp. 281-289. 2005.
|
5 |
W. H. Richardson, "Baysian-based Iterative Method of Image Restoration," Journal of the Optical Society of America, Vol. 62, No. 1, pp. 55-59, 1972.
DOI
|
6 |
L. B. Lucy, "An Iterative Technique for The Rectification of Observed Distributions," The Astronomical Journal, Vol. 79, No. 6, pp. 745- 754, 1974.
DOI
|
7 |
D. Donoho, "Nonlinear Solution of Linear Inverse Problems by Wavelet-vagulette Decomposition," Applied and Computational Harmonic Analysis, Vol. 2, No. 2, pp. 101-126, 1995.
DOI
|
8 |
R. Chan, T. Chan, L. Shen, and Z. Shen, "Wavelet Deblurring Algorithms for Spatially Varying Blur from High-resolution Image Reconstruction," Linear Algebra and its Applications, Vol. 366, No. 1, pp.139-155, 2003.
DOI
|
9 |
R. Rudin and S. Osher, "Total Variation based Image Restoration with Free Local Constraints," Proceeding of IEEE International Conference Image Processing, Vol. 1. pp. 31-35, 1994.
|
10 |
M. Welk, D. Thesi, and J. Weickert, "Variational Deblurring of Images with Uncertain and Spatially Variant Blurs," Pattern Recognition, Vol. 3663, No. 1, pp. 485-492, 2005.
|
11 |
S.A. Yoon, T.G. Lee, S.H Lee, M.K. Son, D.G. Kim and C.H. Won "Image Resolution Enhancement by Improved S&A Method using POCS," Journal of Korea Multimedia Society, Vol. 14, No. 11, pp. 1392-1400, 2011.
과학기술학회마을
DOI
|
12 |
A. Tekalp and M. Sezan, "Quantitative Analysis of Artifacts in Linear Space-invariant Image Restoration," Multidimensional Systems and Signal Processing, Vol. 1, No. 2, pp. 143-177, 1990.
DOI
|
13 |
J. Nagy, K. Palmer, and L. Perrone, "Iterative Methods for Image Deblurring: A Matlab Oriented Approach," Numerical Algorithms, Vol. 36, No. 1, pp. 73-93, 2004.
DOI
ScienceOn
|
14 |
M. Ng, R. Chan, and W.-C. Tang, "A Fast Algorithm for Deblurring Models with Neumann Boundary Donditions," SIAM Journal on Scientific Computing, Vol. 21, No. 3, pp. 851-866, 1999.
DOI
ScienceOn
|
15 |
M. Hanke, J. Nagy, and R. Plemmons, "Preconditioned Iterative Regularization Methods for Ill-posed Problems," in Numerical Linear Algebra and Scientific Computing, eds. L. Reichel, pp. 141-163. de Gruyter, Berlin, Germany, 1993.
|
16 |
R. Gonzalez, and R. Woods. Digital Image Processing Prentice-Hall, Englewood Cliffs, NJ. 2002.
|
17 |
M. R. Hestenes and E. Stiefel, "Methods of Conjugate Gradients for Solving Linear Systems," Journal of Research of the National Bureau of Standards, Vol. 49, No. 6, pp. 409- 436, 1952.
DOI
|
18 |
S. Sera-Capizzano, "A Note on Anti-reflective Boundary Conditions and Fast Deblurring Models," SIAM Journal of Scientific Computing. Vol. 25, No. 4, 1307- 1325, 2003.
|
19 |
D. Calvetti, J. Kaipio, and E. Someralo, "Aristotelian prior Boundary Conditions," International Journal of Mathematics and Computer Science, Vol. 1, No. 1, pp. 63-81, 2006.
|
20 |
H. W. Engl, M. Hanke, and A. Neubauer, Regularization of Inverse Problems, Kluwer Academic Publishers, Dordrecht, 2000.
|
21 |
S. Haykin. Adaptive Filtering Theory. Prentice- Hall, Inc. Upper Saddle River, NJ, USA.1986.
|