Roadmap on chaos-inspired imaging technologies (CI2-Tech)

Rosen, Joseph; Aguiar, Hilton B. de; Anand, Vijayakumar; Baek, YoonSeok; Gigan, Sylvain; Horisaki, Ryoichi; Hugonnet, Hervé; Juodkazis, Saulius; Lee, KyeoReh; Liang, Haowen; Liu, Yikun; Ludwig, Stephan; Osten, Wolfgang; Park, YongKeun; Pedrini, Giancarlo; Sarkar, Tushar; Schindler, Johannes; Singh, Alok Kumar; Singh, Rakesh Kumar; Situ, Guohai; Takeda, Mitsuo; Xie, Xiangsheng; Yang, Wei; Zhou, Jianying

doi:10.1007/s00340-021-07729-z

Cited by 30 publications

(13 citation statements)

References 165 publications

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“…In the recent years, there has been numerous studies reported on the application of artificial speckles formed by spatially incoherent light for 3D, 4D and 5D imaging and holography applications. [45][46][47][48] In this study, for the first time, the fundamental building block of speckle pattern has been selected as a Bessel beam and the imaging characteristics have been studied in an indirect imaging framework. In a classical imaging system, the lateral and axial resolutions are dependent on one another, where it is almost impossible to vary one without affecting the other.…”

Section: Discussionmentioning

confidence: 99%

Bessel Speckles

Anand¹

2022

Preprint

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Speckle patterns are formed by random interferences of mutually coherent beams. While speckles are often considered as an unwanted noise in many areas, they also formed the foundation for the development of numerous speckle-based imaging, holography and sensing technologies. In the recent years, artificial speckle patterns have been generated with spatially incoherent sources using static and dynamic optical modulators for advanced imaging applications. In this report, a fundamental study has been carried out with Bessel distribution as the fundamental building block of the speckle pattern: speckle patterns formed by randomly interfering Bessel beams. Indirect computational imaging framework has been applied to study the imaging characteristics. In general, Bessel beams have a long focal depth, which in this scenario is counteracted by the increase in randomness enabling tunability of the axial resolution between the limits of Bessel beam and a Gaussian beam. Three-dimensional computational imaging has been synthetically demonstrated. The presented study will lead to a new generation of incoherent imaging technologies.

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Section: Discussionmentioning

confidence: 99%

Bessel Speckles

Anand¹

2022

Preprint

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“…This collective effort of computational and optical transformations expands the imaging capability to multiple dimensions beyond the limits of the direct imager [ 2 ]. In recent years, much attention has been given to the development of spatially incoherent imaging techniques in indirect imaging mode due to the multitude of useful properties they exhibit, such as high imaging resolution and low imaging noises [ 2 , 3 , 4 , 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…Incoherent imaging techniques can be further classified into interference-based [ 2 , 5 ] and noninterferometric [ 6 ]. Many of the current interference-based incoherent imaging methods employ the Fresnel incoherent correlation holography (FINCH) architecture to record incoherent digital holograms [ 5 , 7 , 8 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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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.

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“…We received contributions from leading researchers across the globe on all the important facets of holography technologies with a total of 85 authors. One of the significant aspects of this special issue is the roadmap type articles on two main branches of holography and imaging, namely incoherent digital holography (IDH) [1] and chaos-inspired imaging technologies (CI 2 -Tech) [2].…”

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confidence: 99%

“…Like the roadmap on IDH, the roadmap on CI 2 -Tech also received contributions from leading researchers across the globe. In this roadmap, both fundamental and applied research was contributed by the researchers: interferenceless COACH by Rosen, COACH with synthetic point spread functions by Rosen, Anand and Juodkazis, optical imaging through turbid media by Xie, Liu, Liang and Zhou, microscopy with chaotic light with regular and single pixel camera and extended depth of imaging through scatterers by Osten, Ludwig, Pedrini, Schindle, Singh, and Takeda, amplitude and phase imaging with random light by Rakesh Kumar Singh and Sarkar, quantitative phase imaging using incoherent light by Baek, Hugonnet, Lee, and Park, deep learning aided imaging through turbid media by Yang and Situ, speckle correlation based imaging and learning based focusing and imaging by Horisaki and super-resolution deep imaging with speckle illumination by Aguiar and Gigan [2].…”

mentioning

confidence: 99%