N
Nhat Nguyen
Researcher at Stanford University
Publications - 7
Citations - 919
Nhat Nguyen is an academic researcher from Stanford University. The author has contributed to research in topics: Image restoration & Inverse problem. The author has an hindex of 6, co-authored 7 publications receiving 895 citations. Previous affiliations of Nhat Nguyen include KLA-Tencor.
Papers
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Journal ArticleDOI
A computationally efficient superresolution image reconstruction algorithm
TL;DR: This work proposes efficient block circulant preconditioners for solving the Tikhonov-regularized superresolution problem by the conjugate gradient method and extends to underdetermined systems the derivation of the generalized cross-validation method for automatic calculation of regularization parameters.
Journal ArticleDOI
Efficient generalized cross-validation with applications to parametric image restoration and resolution enhancement
TL;DR: This work estimates PSF parameters for this ill-posed class of inverse problem from raw data, along with the regularization parameters required to stabilize the solution, using the generalized cross-validation method (GCV).
Journal ArticleDOI
A wavelet-based interpolation-restoration method for superresolution (wavelet superresolution)
Nhat Nguyen,Peyman Milanfar +1 more
TL;DR: In this article, a wavelet-based interpolation-restoration algorithm for superresolution is proposed, which takes advantage of the regularity and structure inherent in interlaced data.
Interpolation-restoration method for superresolution (wavelet superresolution)*
Nhat Nguyen,Peyman Milanfar +1 more
TL;DR: In this article, a wavelet-based interpolation-restoration algorithm for superresolution is proposed, which takes advantage of the regularity and structure inherent in interlaced data.