39 citations · 58 across the 13 of their papers we have counts for
13 papers
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…
Group-Theoretic Wideband Radar Waveform Design
Kumar Vijay Mishra, Samuel Pinilla, Ali Pezeshki +1
We investigate the theory of affine groups in the context of designing radar waveforms that obey the desired wideband ambiguity function (WAF). The WAF is obtained by correlating t…
An Overview of Advances in Signal Processing Techniques for Classical and Quantum Wideband Synthetic Apertures
Peter Vouras, Kumar Vijay Mishra, Alexandra Artusio-Glimpse +4
Rapid developments in synthetic aperture (SA) systems, which generate a larger aperture with greater angular resolution than is inherently possible from the physical dimensions of…
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…
Hybrid Diffractive Optics Design via Hardware-in-the-Loop Methodology for Achromatic Extended-Depth-of-Field Imaging
Samuel Pinilla, Seyyed Reza Miri Rostami, Igor Shevkunov +2
End-to-end optimization of diffractive optical elements (DOEs) profile through a digital differentiable model combined with computational imaging have gained an increasing attentio…
Unfolding-Aided Bootstrapped Phase Retrieval in Optical Imaging
Samuel Pinilla, Kumar Vijay Mishra, Igor Shevkunov +3
Phase retrieval in optical imaging refers to the recovery of a complex signal from phaseless data acquired in the form of its diffraction patterns. These patterns are acquired thro…
Phase Retrieval for Radar Waveform Design
Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler +1
The ability of a radar to discriminate in both range and Doppler velocity is completely characterized by the ambiguity function (AF) of its transmit waveform. Mathematically, it is…
Non-Convex Recovery from Phaseless Low-Resolution Blind Deconvolution Measurements using Noisy Masked Patterns
Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler
This paper addresses recovery of a kernel and a signal from the low-resolution phaseless measurements of their…
Unique Bispectrum Inversion for Signals with Finite Spectral/Temporal Support
Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler
Retrieving a signal from its triple correlation spectrum, also called bispectrum, arises in a wide range of signal processing problems. Conventional methods do not provide an accur…
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…
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…
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…
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,…