DocumentCode :
2706092
Title :
Preconditioners for regularized image superresolution
Author :
Nguyan, N. ; Golub, Gene ; Milanfar, Peyman
Author_Institution :
Sci. Comput. & Comput. Math. Program, Stanford Univ., CA, USA
Volume :
6
fYear :
1999
fDate :
15-19 Mar 1999
Firstpage :
3249
Abstract :
Superresolution reconstruction produces a high resolution image from a set of low resolution images. Previous work on superresolution had not adequately addressed the computational issues for this problem. In this paper, we propose efficient block circulant preconditioners for solving the regularized superresolution problem by conjugate gradients. The effectiveness of the preconditioners is demonstrated with superresolution results for a simulated image sequence and a FLIR image sequence
Keywords :
conjugate gradient methods; image reconstruction; image resolution; image sequences; FLIR image sequence; conjugate gradients; efficient block circulant preconditioners; high resolution image; regularized image superresolution; simulated image sequence; superresolution reconstruction; Equations; Image reconstruction; Image resolution; Image sequences; Layout; Motion estimation; Pixel; Scientific computing; Solids; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
ISSN :
1520-6149
Print_ISBN :
0-7803-5041-3
Type :
conf
DOI :
10.1109/ICASSP.1999.757534
Filename :
757534
Link To Document :
بازگشت