Wavelet domain image restoration using adaptively regularized constrained total least squares

2005 ◽  
Author(s):  
Xiaojun Zhung ◽  
Wei-Ping Zhu
Keyword(s):  
Image Restoration ◽  
Least Squares ◽  
Total Least Squares ◽  
Wavelet Domain

Regularized constrained total least squares image restoration

1995 ◽  
Vol 4 (8) ◽  
pp. 1096-1108 ◽  
Author(s):  
V.Z. Mesarovic ◽  
N.P. Galatsanos ◽  
A.K. Katsaggelos
Keyword(s):  
Image Restoration ◽  
Least Squares ◽  
Total Least Squares

Total Variation Structured Total Least Squares Method for Image Restoration

2013 ◽  
Vol 35 (6) ◽  
pp. B1304-B1320 ◽  
Author(s):  
Xi-Le Zhao ◽  
Wei Wang ◽  
Tie-Yong Zeng ◽  
Ting-Zhu Huang ◽  
Michael K. Ng
Keyword(s):  
Image Restoration ◽  
Least Squares ◽  
Total Variation ◽  
Least Squares Method ◽  
Total Least Squares ◽  
Structured Total Least Squares

Adaptively regularized constrained total least-squares image restoration

2000 ◽  
Vol 9 (4) ◽  
pp. 588-596 ◽  
Author(s):  
Wufan Chen ◽  
Ming Chen ◽  
Jie Zhou
Keyword(s):  
Image Restoration ◽  
Least Squares ◽  
Total Least Squares

Regularized constrained total least-squares image restoration

1994 ◽  
Author(s):  
Vladimir Z. Mesarovic ◽  
Nikolas P. Galatsanos ◽  
Aggelos K. Katsaggelos
Keyword(s):  
Image Restoration ◽  
Least Squares ◽  
Total Least Squares

Novel Iterative Truncated Total Least Squares Algorithm for Image Restoration

2013 ◽  
Vol 401-403 ◽  
pp. 1397-1400
Author(s):  
Lei Zhang ◽  
Yue Yun Cao ◽  
Zi Chun Yang
Keyword(s):  
Image Restoration ◽  
Least Squares ◽  
Large Scale ◽  
Total Least Squares ◽  
System Matrix ◽  
Scale Problem ◽  
Truncation Parameter ◽  
Lanczos Bidiagonalization ◽  
Ill Posed ◽  
Truncated Total Least Squares

Image restoration is a typical ill-posed inverse problem, which can be solved by a successful total least squares (TLS) method when not only the observation but the system matrix is also contaminated by addition noise. Considering the image restoration is a large-scale problem in general, project the TLS problem onto a subspace defined by a Lanczos bidiagonalization algorithm, and then the Truncated TLS method is applied on the subspace. Therefore, a novel iterative TTLS method, involving appropriate the choice of truncation parameter, is proposed. Finally, an Image reconstruction example is given to illustrate the effectiveness and robustness of proposed algorithm.

scholarly journals A new approach to constrained total least squares image restoration

2000 ◽  
Vol 316 (1-3) ◽  
pp. 237-258 ◽  
Author(s):  
Michael K. Ng ◽  
Robert J. Plemmons ◽  
Felipe Pimentel
Keyword(s):  
Image Restoration ◽  
Least Squares ◽  
Total Least Squares ◽  
New Approach
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