Nonlinear Reconstruction of Images from Patterns Generated by Deterministic or Random Optical Masks—Concepts and Review of Research

Daniel Smith; Shivasubramanian Gopinath; Francis Gracy Arockiaraj; Andra Naresh Kumar Reddy; Vinoth Balasubramani; Ravi Kumar; Nitin Dubey; Soon Hock Ng; Tomas Katkus; Shakina Jothi Selva; Dhanalakshmi Renganathan; Manueldoss Beaula Ruby Kamalam; Aravind Simon John Francis Rajeswary; Srinivasan Navaneethakrishnan; Stephen Rajkumar Inbanathan; Sandhra Mirella Valdma; Periyasamy Angamuthu Praveen; Jayavel Amudhavel; Manoj Kumar; Rashid A. Ganeev; Pierre J. Magistretti; Christian Depeursinge; Saulius Juodkazis; Joseph Rosen; Vijayakumar Anand

doi:https://doi.org/10.3390/jimaging8060174

Nonlinear Reconstruction of Images from Patterns Generated by Deterministic or Random Optical Masks—Concepts and Review of Research

Daniel Smith, Shivasubramanian Gopinath, Francis Gracy Arockiaraj, Andra Naresh Kumar Reddy, Vinoth Balasubramani, Ravi Kumar, Nitin Dubey, Soon Hock Ng, Tomas Katkus, Shakina Jothi Selva, Dhanalakshmi Renganathan, Manueldoss Beaula Ruby Kamalam, Aravind Simon John Francis Rajeswary, Srinivasan Navaneethakrishnan, Stephen Rajkumar Inbanathan, Sandhra Mirella Valdma, Periyasamy Angamuthu Praveen, Jayavel Amudhavel, Manoj Kumar, Rashid A. GaneevPierre J. Magistretti, Christian Depeursinge, Saulius Juodkazis, Joseph Rosen, Vijayakumar Anand

Department of Electrical & Computer Engineering

Ben-Gurion University of the Negev

Research output: Contribution to journal › Review article › peer-review

Abstract

Indirect-imaging methods involve at least two steps, namely optical recording and computational reconstruction. The optical-recording process uses an optical modulator that transforms the light from the object into a typical intensity distribution. This distribution is numerically processed to reconstruct the object’s image corresponding to different spatial and spectral dimensions. There have been numerous optical-modulation functions and reconstruction methods developed in the past few years for different applications. In most cases, a compatible pair of the optical-modulation function and reconstruction method gives optimal performance. A new reconstruction method, termed nonlinear reconstruction (NLR), was developed in 2017 to reconstruct the object image in the case of optical-scattering modulators. Over the years, it has been revealed that the NLR can reconstruct an object’s image modulated by an axicons, bifocal lenses and even exotic spiral diffractive elements, which generate deterministic optical fields. Apparently, NLR seems to be a universal reconstruction method for indirect imaging. In this review, the performance of NLR isinvestigated for many deterministic and stochastic optical fields. Simulation and experimental results for different cases are presented and discussed.

Original language	American English
Article number	174
Journal	Journal of Imaging
Volume	8
Issue number	6
DOIs	https://doi.org/10.3390/jimaging8060174
State	Published - 1 Jun 2022

Keywords

Fresnel incoherent correlation holography
coded aperture imaging
computational imaging
diffractive optics
holography
nonlinear reconstruction
rotating point spread function
scattering

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Radiology Nuclear Medicine and imaging
Computer Vision and Pattern Recognition
Computer Graphics and Computer-Aided Design

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https://doi.org/10.3390/jimaging8060174

Cite this

Smith, D., Gopinath, S., Arockiaraj, F. G., Reddy, A. N. K., Balasubramani, V., Kumar, R., Dubey, N., Ng, S. H., Katkus, T., Selva, S. J., Renganathan, D., Kamalam, M. B. R., Rajeswary, A. S. J. F., Navaneethakrishnan, S., Inbanathan, S. R., Valdma, S. M., Praveen, P. A., Amudhavel, J., Kumar, M., ... Anand, V. (2022). Nonlinear Reconstruction of Images from Patterns Generated by Deterministic or Random Optical Masks—Concepts and Review of Research. Journal of Imaging, 8(6), Article 174. https://doi.org/10.3390/jimaging8060174

@article{7c8d550a0a7442688cfb4a9b71998396,

title = "Nonlinear Reconstruction of Images from Patterns Generated by Deterministic or Random Optical Masks—Concepts and Review of Research",

abstract = "Indirect-imaging methods involve at least two steps, namely optical recording and computational reconstruction. The optical-recording process uses an optical modulator that transforms the light from the object into a typical intensity distribution. This distribution is numerically processed to reconstruct the object{\textquoteright}s image corresponding to different spatial and spectral dimensions. There have been numerous optical-modulation functions and reconstruction methods developed in the past few years for different applications. In most cases, a compatible pair of the optical-modulation function and reconstruction method gives optimal performance. A new reconstruction method, termed nonlinear reconstruction (NLR), was developed in 2017 to reconstruct the object image in the case of optical-scattering modulators. Over the years, it has been revealed that the NLR can reconstruct an object{\textquoteright}s image modulated by an axicons, bifocal lenses and even exotic spiral diffractive elements, which generate deterministic optical fields. Apparently, NLR seems to be a universal reconstruction method for indirect imaging. In this review, the performance of NLR isinvestigated for many deterministic and stochastic optical fields. Simulation and experimental results for different cases are presented and discussed.",

keywords = "Fresnel incoherent correlation holography, coded aperture imaging, computational imaging, diffractive optics, holography, nonlinear reconstruction, rotating point spread function, scattering",

author = "Daniel Smith and Shivasubramanian Gopinath and Arockiaraj, {Francis Gracy} and Reddy, {Andra Naresh Kumar} and Vinoth Balasubramani and Ravi Kumar and Nitin Dubey and Ng, {Soon Hock} and Tomas Katkus and Selva, {Shakina Jothi} and Dhanalakshmi Renganathan and Kamalam, {Manueldoss Beaula Ruby} and Rajeswary, {Aravind Simon John Francis} and Srinivasan Navaneethakrishnan and Inbanathan, {Stephen Rajkumar} and Valdma, {Sandhra Mirella} and Praveen, {Periyasamy Angamuthu} and Jayavel Amudhavel and Manoj Kumar and Ganeev, {Rashid A.} and Magistretti, {Pierre J.} and Christian Depeursinge and Saulius Juodkazis and Joseph Rosen and Vijayakumar Anand",

note = "Publisher Copyright: {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2022",

month = jun,

day = "1",

doi = "https://doi.org/10.3390/jimaging8060174",

language = "American English",

volume = "8",

journal = "Journal of Imaging",

issn = "2313-433X",

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Smith, D, Gopinath, S, Arockiaraj, FG, Reddy, ANK, Balasubramani, V, Kumar, R, Dubey, N, Ng, SH, Katkus, T, Selva, SJ, Renganathan, D, Kamalam, MBR, Rajeswary, ASJF, Navaneethakrishnan, S, Inbanathan, SR, Valdma, SM, Praveen, PA, Amudhavel, J, Kumar, M, Ganeev, RA, Magistretti, PJ, Depeursinge, C, Juodkazis, S, Rosen, J & Anand, V 2022, 'Nonlinear Reconstruction of Images from Patterns Generated by Deterministic or Random Optical Masks—Concepts and Review of Research', Journal of Imaging, vol. 8, no. 6, 174. https://doi.org/10.3390/jimaging8060174

TY - JOUR

T1 - Nonlinear Reconstruction of Images from Patterns Generated by Deterministic or Random Optical Masks—Concepts and Review of Research

AU - Smith, Daniel

AU - Gopinath, Shivasubramanian

AU - Arockiaraj, Francis Gracy

AU - Reddy, Andra Naresh Kumar

AU - Balasubramani, Vinoth

AU - Kumar, Ravi

AU - Dubey, Nitin

AU - Ng, Soon Hock

AU - Katkus, Tomas

AU - Selva, Shakina Jothi

AU - Renganathan, Dhanalakshmi

AU - Kamalam, Manueldoss Beaula Ruby

AU - Rajeswary, Aravind Simon John Francis

AU - Navaneethakrishnan, Srinivasan

AU - Inbanathan, Stephen Rajkumar

AU - Valdma, Sandhra Mirella

AU - Praveen, Periyasamy Angamuthu

AU - Amudhavel, Jayavel

AU - Kumar, Manoj

AU - Ganeev, Rashid A.

AU - Magistretti, Pierre J.

AU - Depeursinge, Christian

AU - Juodkazis, Saulius

AU - Rosen, Joseph

AU - Anand, Vijayakumar

PY - 2022/6/1

Y1 - 2022/6/1

N2 - Indirect-imaging methods involve at least two steps, namely optical recording and computational reconstruction. The optical-recording process uses an optical modulator that transforms the light from the object into a typical intensity distribution. This distribution is numerically processed to reconstruct the object’s image corresponding to different spatial and spectral dimensions. There have been numerous optical-modulation functions and reconstruction methods developed in the past few years for different applications. In most cases, a compatible pair of the optical-modulation function and reconstruction method gives optimal performance. A new reconstruction method, termed nonlinear reconstruction (NLR), was developed in 2017 to reconstruct the object image in the case of optical-scattering modulators. Over the years, it has been revealed that the NLR can reconstruct an object’s image modulated by an axicons, bifocal lenses and even exotic spiral diffractive elements, which generate deterministic optical fields. Apparently, NLR seems to be a universal reconstruction method for indirect imaging. In this review, the performance of NLR isinvestigated for many deterministic and stochastic optical fields. Simulation and experimental results for different cases are presented and discussed.

AB - Indirect-imaging methods involve at least two steps, namely optical recording and computational reconstruction. The optical-recording process uses an optical modulator that transforms the light from the object into a typical intensity distribution. This distribution is numerically processed to reconstruct the object’s image corresponding to different spatial and spectral dimensions. There have been numerous optical-modulation functions and reconstruction methods developed in the past few years for different applications. In most cases, a compatible pair of the optical-modulation function and reconstruction method gives optimal performance. A new reconstruction method, termed nonlinear reconstruction (NLR), was developed in 2017 to reconstruct the object image in the case of optical-scattering modulators. Over the years, it has been revealed that the NLR can reconstruct an object’s image modulated by an axicons, bifocal lenses and even exotic spiral diffractive elements, which generate deterministic optical fields. Apparently, NLR seems to be a universal reconstruction method for indirect imaging. In this review, the performance of NLR isinvestigated for many deterministic and stochastic optical fields. Simulation and experimental results for different cases are presented and discussed.

KW - Fresnel incoherent correlation holography

KW - coded aperture imaging

KW - computational imaging

KW - diffractive optics

KW - holography

KW - nonlinear reconstruction

KW - rotating point spread function

KW - scattering

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U2 - https://doi.org/10.3390/jimaging8060174

DO - https://doi.org/10.3390/jimaging8060174

M3 - Review article

C2 - 35735973

SN - 2313-433X

VL - 8

JO - Journal of Imaging

JF - Journal of Imaging

IS - 6

M1 - 174

ER -

Nonlinear Reconstruction of Images from Patterns Generated by Deterministic or Random Optical Masks—Concepts and Review of Research

Abstract

Keywords

All Science Journal Classification (ASJC) codes

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