Deep Deconvolution of Object Information Modulated by a Refractive Lens Using Lucy-Richardson-Rosen Algorithm
P. A. Praveen,
Francis Gracy Arockiaraj,
Shivasubramanian Gopinath,
Daniel Smith,
Tauno Kahro,
Sandhra-Mirella Valdma,
Andrei Bleahu,
Soon Hock Ng,
Andra Naresh Kumar Reddy,
Tomas Katkus,
Aravind Simon John Francis Rajeswary,
Rashid A. Ganeev,
Siim Pikker,
Kaupo Kukli,
Aile Tamm,
Saulius Juodkazis,
Vijayakumar Anand
Affiliations
P. A. Praveen
Institute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia
Francis Gracy Arockiaraj
PG & Research Department of Physics, The American College, Madurai 625002, India
Shivasubramanian Gopinath
PG & Research Department of Physics, Thiagarajar College, Madurai 625009, India
Daniel Smith
Optical Sciences Centre and ARC Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Science, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
Tauno Kahro
Institute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia
Sandhra-Mirella Valdma
Institute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia
Andrei Bleahu
Institute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia
Soon Hock Ng
Optical Sciences Centre and ARC Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Science, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
Andra Naresh Kumar Reddy
Laboratory of Nonlinear Optics, University of Latvia, LV-1004 Riga, Latvia
Tomas Katkus
Optical Sciences Centre and ARC Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Science, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
Aravind Simon John Francis Rajeswary
Institute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia
Rashid A. Ganeev
Laboratory of Nonlinear Optics, University of Latvia, LV-1004 Riga, Latvia
Siim Pikker
Institute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia
Kaupo Kukli
Institute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia
Aile Tamm
Institute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia
Saulius Juodkazis
Optical Sciences Centre and ARC Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Science, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
Vijayakumar Anand
Institute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia
A refractive lens is one of the simplest, most cost-effective and easily available imaging elements. Given a spatially incoherent illumination, a refractive lens can faithfully map every object point to an image point in the sensor plane, when the object and image distances satisfy the imaging conditions. However, static imaging is limited to the depth of focus, beyond which the point-to-point mapping can only be obtained by changing either the location of the lens, object or the imaging sensor. In this study, the depth of focus of a refractive lens in static mode has been expanded using a recently developed computational reconstruction method, Lucy-Richardson-Rosen algorithm (LRRA). The imaging process consists of three steps. In the first step, point spread functions (PSFs) were recorded along different depths and stored in the computer as PSF library. In the next step, the object intensity distribution was recorded. The LRRA was then applied to deconvolve the object information from the recorded intensity distributions during the final step. The results of LRRA were compared with two well-known reconstruction methods, namely the Lucy-Richardson algorithm and non-linear reconstruction.
