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- W2390912958 abstract "this paper considers the estimation of the unknown parameter for the problem of reconstructing a super-resolution image from multiple under-sampled, shifted, and degraded frames. L-curve criterion is used to estimate the regularization parameters. However, the computation of the L-curve is quite costly for large problems. The determination of a point in the L-curve requires that both the norm of the regularized approximate solution and the norm of the corresponding residual vector are available. The paper proposes an approximate technique based on the Lanczos algorithm and Gauss quadrature theory, which can reduce computational complexity of the L-curve for the efficient parameter estimation in high-resolution image reconstruction." @default.
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- W2390912958 date "2006-01-01" @default.
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- W2390912958 title "Efficient Parameter Estimation with L-Curve in Super-Resolution Image Reconstruction" @default.
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