activity
20182022
most citedOn design of hybrid diffractive optics for achromatic extended depth-of-field (EDoF) RGB imaging

2 citations · 3 across the 3 of their papers we have counts for

collaborators

6 papers

math.OC20221 cited

Improved Imaging by Invex Regularizers with Global Optima Guarantees

Samuel Pinilla, Tingting Mu, Neil Bourne +1

Image reconstruction enhanced by regularizers, e.g., to enforce sparsity, low rank or smoothness priors on images, has many successful applications in vision tasks such as computer…

physics.optics20222 cited

On design of hybrid diffractive optics for achromatic extended depth-of-field (EDoF) RGB imaging

Seyyed Reza Miri Rostami, Samuel Pinilla, Igor Shevkunov +2

A hybrid imaging system is a simultaneous physical arrangement of a refractive lens and a multilevel phase mask (MPM) as a diffractive optical element (DOE). The favorable properti…

physics.optics2021

Power-Balanced Hybrid Optics Boosted Design for Achromatic Extended-Depth-of-Field Imaging via Optimized Mixed OTF

Seyyed Reza Miri Rostami, Samuel Pinilla, Igor Shevkunov +2

The power-balanced hybrid optical imaging system is a special design of a diffractive computational camera, introduced in this paper, with image formation by a refractive lens and…

eess.IV2019

Exact Crystalline Structure Recovery in X-ray Crystallography from Coded Diffraction Patterns

Samuel Pinilla, Jorge Bacca, Cesar Vargas +2

X-ray crystallography (XC) is an experimental technique used to determine three-dimensional crystalline structures. The acquired data in XC, called diffraction patterns, is the Fou…

eess.SP2019

Frequency-Resolved Optical Gating Recovery via Smoothing Gradient

Samuel Pinilla, Tamir Bendory, Yonina C. Eldar +1

Frequency-resolved optical gating (FROG) is a popular technique for complete characterization of ultrashort laser pulses. The acquired data in FROG, called FROG trace, is the Fouri…

math.OC2018

SPRSF: Sparse Phase Retrieval via Smoothing Function

Samuel Pinilla, Jorge Bacca, Henry Arguello

Phase retrieval (PR) is an ill-conditioned inverse problem which can be found in various science and engineering applications. Assuming sparse priority over the signal of interest,…