TY - GEN
T1 - Faithful Transfer of 3D Propagation Characteristics of Deterministic and Random Optical Fields to Coded Aperture Imaging Systems Using Lucy-Richardson-Rosen Algorithm
AU - Xavier, Agnes Pristy Ignatius
AU - Arockiaraj, Francis Gracy
AU - Gopinath, Shivasubramanian
AU - Rajeswary, Aravind Simon John Francis
AU - Reddy, Andra Naresh Kumar
AU - Ganeev, Rashid A.
AU - Singh, M. Scott Arockia
AU - Tania, S. D.Milling
AU - Anand, Vijayakumar
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - Engineering the complex amplitude and polarization of light is essential for various applications. In this direction, many deterministic and random optical beams such as Airy Bessel, and self-rotating beams were developed. While the above beams satisfied the requirements for the targeted applications, they are not suitable for imaging applications in spite of the valuable axial characteristics they possess, as they are not effective object-image mapping elements. Consequently, when exotic beams were implemented for direct imaging, only a distorted image was obtained. However, the scenario is different in coded aperture imaging (CAI) methods, where the imaging mode is indirect, consisting of optical recording and computational image recovery. Therefore, the point spread function (PSF) in CAI is not the recorded intensity distribution but the reconstructed intensity distribution. By employing a suitable computational reconstruction method, it is possible to convert the recorded intensity distribution into a Delta-like function. In this study, Lucy-Richardson-Rosen algorithm has been implemented as a generalized image recovery method for a wide range of optical beams, and the performance is validated in both simulation and optical experiments.
AB - Engineering the complex amplitude and polarization of light is essential for various applications. In this direction, many deterministic and random optical beams such as Airy Bessel, and self-rotating beams were developed. While the above beams satisfied the requirements for the targeted applications, they are not suitable for imaging applications in spite of the valuable axial characteristics they possess, as they are not effective object-image mapping elements. Consequently, when exotic beams were implemented for direct imaging, only a distorted image was obtained. However, the scenario is different in coded aperture imaging (CAI) methods, where the imaging mode is indirect, consisting of optical recording and computational image recovery. Therefore, the point spread function (PSF) in CAI is not the recorded intensity distribution but the reconstructed intensity distribution. By employing a suitable computational reconstruction method, it is possible to convert the recorded intensity distribution into a Delta-like function. In this study, Lucy-Richardson-Rosen algorithm has been implemented as a generalized image recovery method for a wide range of optical beams, and the performance is validated in both simulation and optical experiments.
KW - Lucy-Richardson-Rosen algorithm
KW - coded aperture imaging
KW - computational imaging
KW - diffractive optics
KW - digital holography
KW - microscopy
UR - http://www.scopus.com/inward/record.url?scp=85186505161&partnerID=8YFLogxK
U2 - 10.1109/NEleX59773.2023.10421020
DO - 10.1109/NEleX59773.2023.10421020
M3 - Conference contribution
AN - SCOPUS:85186505161
T3 - 2023 International Conference on Next Generation Electronics, NEleX 2023
BT - 2023 International Conference on Next Generation Electronics, NEleX 2023
PB - Institute of Electrical and Electronics Engineers
T2 - 2023 IEEE International Conference on Next Generation Electronics, NEleX 2023
Y2 - 14 December 2023 through 16 December 2023
ER -