Share Email Print
cover

Proceedings Paper

Gauss quadrature rule based on parameter estimation
Author(s): Kai Xie; Shulin Yang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In this paper, we consider the estimation of the unknown parameter for the problem of reconstructing a high resolution image from multiple under-sampled, shifted, degraded frames. L-curve criterion is used to estimate regularization parameters. However, the computational of the L-curve is quiet costly for large-size problems. The paper proposes an efficient approximate technique based on Gauss quadrature rule. The technique translates some matrix computation into Gauss quadrature with singular decomposition. It can reduce the computational complexity of the L-curve.

Paper Details

Date Published: 13 October 2008
PDF: 6 pages
Proc. SPIE 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration, 71291K (13 October 2008); doi: 10.1117/12.807496
Show Author Affiliations
Kai Xie, Beijing Institute of Graphic Communication (China)
Shulin Yang, Beijing Institute of Graphic Communication (China)


Published in SPIE Proceedings Vol. 7129:
Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration

© SPIE. Terms of Use
Back to Top