3 citations · 3 across the 2 of their papers we have counts for
5 papers
Nonuniform Defocus Removal for Image Classification
Nguyen Hieu Thao, Oleg Soloviev, Jacques Noom +1
We propose and study the single-frame anisoplanatic deconvolution problem associated with image classification using machine learning algorithms, named the nonuniform defocus remov…
Convex combination of alternating projection and Douglas-Rachford operators for phase retrieval
Nguyen Hieu Thao, Oleg Soloviev, Michel Verhaegen
We present the convergence analysis of convex combination of the alternating projection and Douglas-Rachford operators for solving the phase retrieval problem. New convergence crit…
Some new characterizations of intrinsic transversality in Hilbert spaces
Nguyen Hieu Thao, Hoa Thi Bui, Nguyen Duy Cuong +1
Motivated by a number of research questions concerning transversality-type properties of pairs of sets recently raised by Ioffe and Kruger, this paper reports several new character…
Phase retrieval with sparse phase constraint
Hieu Thao Nguyen, D. Russell Luke, Oleg Soloviev +1
For the first time, this paper investigates the phase retrieval problem with the assumption that the phase (of the complex signal) is sparse in contrast to the sparsity assumption…
Solving large-scale general phase retrieval problems via a sequence of convex relaxations
Reinier Doelman, H. Thao Nguyen, Michel Verhaegen
We present a convex relaxation-based algorithm for large-scale general phase retrieval problems. General phase retrieval problems include i.a. the estimation of the phase of the op…