Curvature Bounds-based Parameter Estimation in Super-Resolution Image Restoration
Xie Kai · 2007
In many super-resolution image restoration applications,the regular parameters are not known.However, the computationa for the estimation of the unknown parameters is quite costly though L-curve.The paper proposes an efficient method based on the Lanczos algorithm and Gauss quadrature rules in super-resolution image restorations. The method can compute matrix moments though Gauss quadrature rules.L-curvature ribbon is yielded with partial Lanczos algorithm.The method can reduce the computational complexity of the regular parameters and determine the suitable iterative times for the Lanczos algorithm.