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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국전산응용수학회 Journal of applied mathematics & informatics Journal of applied mathematics & informatics 제36권 제5호
- 발행연도
- 2018.1
- 수록면
- 531 - 540 (10page)
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초록· 키워드
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We first show how to construct the linear operator equations corresponding to Tikhonov regularization problems for solving image deblurring problems with nearly separable point spread functions. We next propose a Kronecker product preconditioner which is suitable for the global PCG method. Lastly, we provide numerical experiments of the global PCG method with the Kronecker product preconditioner for several image deblurring problems to evaluate its effectiveness.
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참고문헌 (14)
참고문헌 신청
A. Bjorck / 1996 / Numerical methods for least squares problems / SIAM
M. Donatelli / 2015 / Arnoldi methods for image deblurring with anti-re extive boundary conditions / Appl. Math. Comput 253:135~150
R. W. Freund / 1991 / Iterative solutions of linear systems / Acta Numerica 1:57~100
M. Hankey / 1996 / Restoration of atmospherically blurred images by symmetric indefinite conjugate gradient / Inverse Problems 12:157~173
P. C. Hansen / 2006 / Deblurring Images: Matrices, Spectra, and Filtering / SIAM
M. Donatelli / 2015 / Arnoldi methods for image deblurring with anti-re extive boundary conditions / Appl. Math. Comput 253:135~150
R. W. Freund / 1991 / Iterative solutions of linear systems / Acta Numerica 1:57~100
M. Hankey / 1996 / Restoration of atmospherically blurred images by symmetric indefinite conjugate gradient / Inverse Problems 12:157~173
P. C. Hansen / 2006 / Deblurring Images: Matrices, Spectra, and Filtering / SIAM
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