DocumentCode
379880
Title
Constrained regularization methods for superresolution
Author
Connolly, T.J. ; Lane, R.G.
Author_Institution
Dept. of Electr. & Electron. Eng., Canterbury Univ., Christchurch, New Zealand
fYear
1998
fDate
4-7 Oct 1998
Firstpage
727
Abstract
We apply constrained Tikhonov-Miller regularization to superresolution. The effective solution of this problem necessitates the imposition of a positivity constraint on the conjugate gradient method. This results in a fast projection based quadratic programming method for image superresolution. Difficulties with existing algorithms for this problem are also examined
Keywords
conjugate gradient methods; image resolution; quadratic programming; conjugate gradient method; constrained Tikhonov-Miller regularization; constrained regularization methods; fast projection based quadratic programming method; image superresolution; positivity constraint; Algorithm design and analysis; Clustering algorithms; Constraint theory; Convergence; Equations; Fourier transforms; Gradient methods; Image restoration; Quadratic programming;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location
Chicago, IL
Print_ISBN
0-8186-8821-1
Type
conf
DOI
10.1109/ICIP.1998.999056
Filename
999056
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