3 citations · 4 across the 10 of their papers we have counts for
11 papers
Online input design for discrimination of linear models using concave minimization
Jacques Noom, Oleg Soloviev, Carlas Smith +1
Stochastic Closed-Loop Active Fault Diagnosis (CLAFD) aims to select the input sequentially in order to improve the discrimination of different models by minimizing the predicted e…
Subpixel image reconstruction using nonuniform defocused images
Hieu Thao Nguyen, Oleg Soloviev, Jacques Noom +1
This paper considers the problem of reconstructing an object with high-resolution using several low-resolution images, which are degraded due to nonuniform defocus effects caused b…
Projection methods for high numerical aperture phase retrieval
Nguyen Hieu Thao, Oleg Soloviev, Russell Luke +1
We develop for the first time a mathematical framework in which the class of projection algorithms can be applied to high numerical aperture (NA) phase retrieval. Within this frame…
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…
Blind multi-frame deconvolution for the correction of space-variant blur in images
Wouter van de Ketterij, Oleg Soloviev, Michel Verhaegen
This paper demonstrates a practical method that can correct spatial varying blur from a set of images of the same object. The algorithm jointly estimates the object and local point…
Shack-Hartmann sensor as an imaging system with a phase diversity
Oleg Soloviev, Hieu Thao Nguyen, Vitalii Bezzubik +3
Conventional methods of wavefront reconstruction from the raw data of the Shack-Hartmann sensor use the focal spot shifts and discard the high-frequency information about the wavef…
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…
Blind single-frame deconvolution by tangential iterative projections (TIP)
Dean Wilding, Oleg Soloviev, Paolo Pozzi +3
Deconvolution serves as a computational means of removing the effect of optical aberrations from recorded images and is employed in many technical and scientific fields of study. I…
Anisoplanatic adaptive optics in parallelized laser scanningmicroscopy
Paolo Pozzi, Carlas Smith, Dean Wilding +4
Inhomogeneities in the refractive index of a biological sample can introduce phase aberrationsin microscopy systems, severely impairing the quality of images. Adaptive optics can b…
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…
Alias-Free Basis for Modal Sensorless Adaptive Optics Using the Second Moment of Intensity
Oleg Soloviev
In theory of optical aberrations, an aberrated wavefront is represented by its coefficients in some orthogonal basis, for instance by Zernike polynomials. However, many wavefront m…