论文信息 - Conjugate-Gradient Preconditioning Methods : Numerical Results - 字舞流文

Conjugate-Gradient Preconditioning Methods : Numerical Results

[1] R. Mersereau,et al. Iterative methods for image deblurring , 1990 .

[2] C R Crawford,et al. CT filtration aliasing artifacts. , 1991, IEEE transactions on medical imaging.

[3] Ken D. Sauer,et al. A local update strategy for iterative reconstruction from projections , 1993, IEEE Trans. Signal Process..

[4] Jeffrey A. Fessler,et al. Ieee Transactions on Image Processing: to Appear Hybrid Poisson/polynomial Objective Functions for Tomographic Image Reconstruction from Transmission Scans , 2022 .

[5] Jeffrey A. Fessler,et al. Spatial resolution properties of penalized-likelihood image reconstruction: space-invariant tomographs , 1996, IEEE Trans. Image Process..

[6] J. Nagy,et al. Restoration of atmospherically blurred images by symmetric indefinite conjugate gradient techniques , 1996 .

[7] Jeffrey A. Fessler. Mean and variance of implicitly defined biased estimators (such as penalized maximum likelihood): applications to tomography , 1996, IEEE Trans. Image Process..

[8] Jeffrey A. Fessler,et al. Grouped-coordinate ascent algorithms for penalized-likelihood transmission image reconstruction , 1997, IEEE Transactions on Medical Imaging.

[9] Jeffrey A. Fessler,et al. New Statistical Models for Randoms-Precorrected PET Scans , 1997, IPMI.

[10] Jeffrey A. Fessler,et al. Conjugate-gradient preconditioning methods for shift-variant PET image reconstruction , 1999, IEEE Trans. Image Process..