Super-resolution using Gradient Descent

Mohammad Tariqul Islam; Shaurya Aarav; S. A. Wadood; Jason W. Fleischer

doi:10.1364/COSI.2023.CW4D.5

Super-resolution using Gradient Descent

Mohammad Tariqul Islam, Shaurya Aarav, S. A. Wadood, Jason W. Fleischer

Research output: Contribution to conference › Paper › peer-review

Abstract

We introduce a method to estimate the separation between two point sources beyond the Rayleigh limit using gradient descent. The method applies to any differentiable point spread function (PSF) and does not require knowledge of the centroid.

Original language	English (US)
DOIs	https://doi.org/10.1364/COSI.2023.CW4D.5
State	Published - 2023
Externally published	Yes
Event	2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023 - Boston, United States Duration: Aug 14 2023 → Aug 17 2023

Conference

Conference	2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023
Country/Territory	United States
City	Boston
Period	8/14/23 → 8/17/23

All Science Journal Classification (ASJC) codes

General Computer Science
Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Space and Planetary Science
Control and Systems Engineering
Electrical and Electronic Engineering
Instrumentation

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10.1364/COSI.2023.CW4D.5

Cite this

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title = "Super-resolution using Gradient Descent",

abstract = "We introduce a method to estimate the separation between two point sources beyond the Rayleigh limit using gradient descent. The method applies to any differentiable point spread function (PSF) and does not require knowledge of the centroid.",

author = "Islam, {Mohammad Tariqul} and Shaurya Aarav and Wadood, {S. A.} and Fleischer, {Jason W.}",

note = "Publisher Copyright: {\textcopyright} 2023 The Author(s).; 2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023 ; Conference date: 14-08-2023 Through 17-08-2023",

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language = "English (US)",

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TY - CONF

T1 - Super-resolution using Gradient Descent

AU - Islam, Mohammad Tariqul

AU - Aarav, Shaurya

AU - Wadood, S. A.

AU - Fleischer, Jason W.

PY - 2023

Y1 - 2023

N2 - We introduce a method to estimate the separation between two point sources beyond the Rayleigh limit using gradient descent. The method applies to any differentiable point spread function (PSF) and does not require knowledge of the centroid.

AB - We introduce a method to estimate the separation between two point sources beyond the Rayleigh limit using gradient descent. The method applies to any differentiable point spread function (PSF) and does not require knowledge of the centroid.

UR - http://www.scopus.com/inward/record.url?scp=85192533208&partnerID=8YFLogxK

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U2 - 10.1364/COSI.2023.CW4D.5

DO - 10.1364/COSI.2023.CW4D.5

M3 - Paper

AN - SCOPUS:85192533208

T2 - 2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023

Y2 - 14 August 2023 through 17 August 2023

ER -

Super-resolution using Gradient Descent

Abstract

Conference

All Science Journal Classification (ASJC) codes

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