|
1
|
Yu X, Wang Z, Cheng X, Zhao L, Li X, Sun Y. Nonlinear edge enhancement imaging based on Laguerre-Gaussian superimposed vortex filters. OPTICS LETTERS 2024; 49:482-485. [PMID: 38300039 DOI: 10.1364/ol.507946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 12/13/2023] [Indexed: 02/02/2024]
Abstract
Nonlinear reconstruction, which is based on the principle of cross correlation, is a commonly employed reconstruction technique in incoherent correlated digital holography systems. However, the modulation of phase masks in these systems is suppressed during the reconstruction process, resulting in an inability to express the characteristics of the phase masks. Consequently, achieving edge enhancement within these systems is constrained. We propose a nonlinear reconstruction method utilizing Laguerre-Gaussian superimposed vortex filters, which modulates the spectrum of the target during the reconstruction process. Experimental results demonstrate that this method performs well in reconstructing image edges for various phase-masked incoherent imaging systems and effectively suppresses noise. Additionally, this method enables directional edge enhancement.
Collapse
|
|
2
|
He J, Zhang P, Su J, Wang J, Tian Y, Hu Y, Ma F. Edge enhancement in three-dimensional vortex imaging based on FINCH by Bessel-like spiral phase modulation. OPTICS EXPRESS 2024; 32:1438-1450. [PMID: 38297695 DOI: 10.1364/oe.511205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 11/09/2023] [Indexed: 02/02/2024]
Abstract
Edge enhancement, as an important part of image processing, has played an essential role in amplitude-contrast and phase-contrast object imaging. The edge enhancement of three-dimensional (3D) vortex imaging has been successfully implemented by Fresnel incoherent correlation holography (FINCH), but the background noise and image contrast effects are still not satisfactory. To solve these issues, the edge enhancement of FINCH by employing Bessel-like spiral phase modulation is proposed and demonstrated. Compared with the conventional spiral phase modulated FINCH, the proposed technique can achieve high-quality edge enhancement 3D vortex imaging with lower background noise, higher contrast and resolution. The significantly improved imaging quality is mainly attributed to the effective sidelobes' suppression in the generated optical vortices with the Bessel-like modulation technique. Experimental results of the small circular aperture, resolution target, and the Drosophila melanogaster verify its excellent imaging performance. Moreover, we also proposed a new method for selective edge enhancement of 3D vortex imaging by breaking the symmetry of the spiral phase in the algorithmic model of isotropic edge enhancement. The reconstructed images of the circular aperture show that the proposed method is able to enhance the edges of the given objects selectively in any desired direction.
Collapse
|
|
4
|
Smith D, Gopinath S, Arockiaraj FG, Reddy ANK, Balasubramani V, Kumar R, Dubey N, Ng SH, Katkus T, Selva SJ, Renganathan D, Kamalam MBR, John Francis Rajeswary AS, Navaneethakrishnan S, Inbanathan SR, Valdma SM, Praveen PA, Amudhavel J, Kumar M, Ganeev RA, Magistretti PJ, Depeursinge C, Juodkazis S, Rosen J, Anand V. Nonlinear Reconstruction of Images from Patterns Generated by Deterministic or Random Optical Masks-Concepts and Review of Research. J Imaging 2022; 8:174. [PMID: 35735973 PMCID: PMC9225382 DOI: 10.3390/jimaging8060174] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 06/17/2022] [Accepted: 06/18/2022] [Indexed: 11/24/2022] Open
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.
Collapse
Affiliation(s)
- Daniel Smith
- Optical Sciences Center and ARC Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Science, Computing and Engineering Technologies, Optical Sciences Center, Swinburne University of Technology, Hawthorn, Melbourne, VIC 3122, Australia; (D.S.); (S.H.N.); (T.K.); (S.J.)
| | - Shivasubramanian Gopinath
- PG & Research Department of Physics, Thiagarajar College, Madurai 625009, India; (S.G.); (D.R.); (S.N.)
| | - Francis Gracy Arockiaraj
- PG & Research Department of Physics, The American College, Madurai 625009, India; (F.G.A.); (S.J.S.); (M.B.R.K.); (S.R.I.)
| | - Andra Naresh Kumar Reddy
- Hee Photonic Labs, LV-1002 Riga, Latvia;
- Laboratory of Nonlinear Optics, University of Latvia, Jelgavas 3, LV-1004 Riga, Latvia;
| | - Vinoth Balasubramani
- Division of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia; (V.B.); (P.J.M.); (C.D.)
| | - Ravi Kumar
- School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel; (R.K.); (N.D.); (J.R.)
| | - Nitin Dubey
- School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel; (R.K.); (N.D.); (J.R.)
| | - Soon Hock Ng
- Optical Sciences Center and ARC Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Science, Computing and Engineering Technologies, Optical Sciences Center, Swinburne University of Technology, Hawthorn, Melbourne, VIC 3122, Australia; (D.S.); (S.H.N.); (T.K.); (S.J.)
| | - Tomas Katkus
- Optical Sciences Center and ARC Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Science, Computing and Engineering Technologies, Optical Sciences Center, Swinburne University of Technology, Hawthorn, Melbourne, VIC 3122, Australia; (D.S.); (S.H.N.); (T.K.); (S.J.)
| | - Shakina Jothi Selva
- PG & Research Department of Physics, The American College, Madurai 625009, India; (F.G.A.); (S.J.S.); (M.B.R.K.); (S.R.I.)
| | - Dhanalakshmi Renganathan
- PG & Research Department of Physics, Thiagarajar College, Madurai 625009, India; (S.G.); (D.R.); (S.N.)
| | - Manueldoss Beaula Ruby Kamalam
- PG & Research Department of Physics, The American College, Madurai 625009, India; (F.G.A.); (S.J.S.); (M.B.R.K.); (S.R.I.)
| | | | | | - Stephen Rajkumar Inbanathan
- PG & Research Department of Physics, The American College, Madurai 625009, India; (F.G.A.); (S.J.S.); (M.B.R.K.); (S.R.I.)
| | - Sandhra-Mirella Valdma
- Institute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia; (A.S.J.F.R.); (S.-M.V.); (P.A.P.); (J.A.); (M.K.)
| | - Periyasamy Angamuthu Praveen
- Institute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia; (A.S.J.F.R.); (S.-M.V.); (P.A.P.); (J.A.); (M.K.)
- Organic Optoelectronics Research Laboratory, Department of Physics, Indian Institute of Science Education and Research (IISER), Tirupati 517507, India
| | - Jayavel Amudhavel
- Institute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia; (A.S.J.F.R.); (S.-M.V.); (P.A.P.); (J.A.); (M.K.)
- School of Computing Science and Engineering, VIT Bhopal University, Bhopal 466114, India
| | - Manoj Kumar
- Institute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia; (A.S.J.F.R.); (S.-M.V.); (P.A.P.); (J.A.); (M.K.)
| | - Rashid A. Ganeev
- Laboratory of Nonlinear Optics, University of Latvia, Jelgavas 3, LV-1004 Riga, Latvia;
- Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, Kori Niyozov Str. 39, Tashkent 100000, Uzbekistan
| | - Pierre J. Magistretti
- Division of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia; (V.B.); (P.J.M.); (C.D.)
| | - Christian Depeursinge
- Division of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia; (V.B.); (P.J.M.); (C.D.)
| | - Saulius Juodkazis
- Optical Sciences Center and ARC Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Science, Computing and Engineering Technologies, Optical Sciences Center, Swinburne University of Technology, Hawthorn, Melbourne, VIC 3122, Australia; (D.S.); (S.H.N.); (T.K.); (S.J.)
- Tokyo Tech World Research Hub Initiative (WRHI), School of Materials and Chemical Technology, Tokyo Institute of Technology, 2-12-1, Ookayama, Meguro-ku, Tokyo 152-8550, Japan
| | - Joseph Rosen
- School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel; (R.K.); (N.D.); (J.R.)
| | - Vijayakumar Anand
- Optical Sciences Center and ARC Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Science, Computing and Engineering Technologies, Optical Sciences Center, Swinburne University of Technology, Hawthorn, Melbourne, VIC 3122, Australia; (D.S.); (S.H.N.); (T.K.); (S.J.)
- Institute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia; (A.S.J.F.R.); (S.-M.V.); (P.A.P.); (J.A.); (M.K.)
| |
Collapse
|
|
6
|
Invasive and Non-Invasive Observation of Occluded Fast Transient Events: Computational Tools. PHOTONICS 2021. [DOI: 10.3390/photonics8070253] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Industrial processes involving thermal plasma such as cutting, welding, laser machining with ultra-short laser pulses (nonequilibrium conditions), high temperature melting using electrical discharge or ion-beams, etc., generate non-repeatable fast transient events which can reveal valuable information about the processes. In such industrial environments containing high temperature and radiation, it is often difficult to install conventional lens-based imaging windows and components to observe such events. In this study, we compare imaging requirements and performances with invasive and non-invasive modes when a fast transient event is occluded by a metal window consisting of numerous holes punched through it. Simulation studies were carried out for metal windows with different types of patterns, reconstructed for both invasive and non-invasive modes and compared. Sparks were generated by rapid electrical discharge behind a metal window consisting of thousands of punched through-holes and the time sequence was recorded using a high-speed camera. The time sequence was reconstructed with and without the spatio-spectral point spread functions and compared. Commented MATLAB codes are provided for both invasive and non-invasive modes of reconstruction.
Collapse
|