Fundamental limit for gain and resolution in analog optical edge detection

Karimi, Parisa; Khavasi, Amin; Khaleghi, Seyed Saleh Mousavi

doi:10.1364/oe.379492

Cited by 30 publications

(12 citation statements)

References 17 publications

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“…In a theoretical study, Karimi at al. discussed the fundamental gain-resolution limit that applies to optical analog edge detectors [94]. Considering the Rayleigh criterion, the derived formula reveals a linear relation between the gain of the spatial filter and the achievable image resolution.…”

Section: Discussionmentioning

confidence: 99%

Meta-optics for spatial optical analog computing

Abdollahramezani,

Hemmatyar,

Adibi

2020

Preprint

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Rapidly growing demands for high-performance computing, powerful data processing systems, and big data necessitate the advent of novel optical devices to perform demanding computing processes effectively. Due to its unprecedented growth in the past two decades, the field of meta-optics offers a viable solution for spatially, spectrally, and/or even temporally sculpting amplitude, phase, polarization, and/or dispersion of optical wavefronts. In this Review, we discuss state-of-the-art developments as well as emerging trends in computational meta-structures as disruptive platforms for spatial optical analog computation. Two fundamental approaches based on general concepts of spatial Fourier transformation and Greens function are discussed in detail. Moreover, numerical investigations and experimental demonstrations of computational optical surfaces and meta-structures for solving a diverse set of mathematical problems (e.g., integro-differentiation and convolution equations) necessary for on-demand applications (e.g., edge detection) are reviewed. Finally, we explore the current challenges and the potential resolutions in computational meta-optics followed by our perspective on future research directions and possible developments in this promising area.

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Section: Discussionmentioning

confidence: 99%

Meta-optics for spatial optical analog computing

Abdollahramezani,

Hemmatyar,

Adibi

2020

Preprint

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“…So far, most demonstrations have suffered from the narrow operational spatial bandwidth associated with the low resolution of processed images. In a theoretical study, Karimi et al [98] discussed the fundamental gain-resolution limit that applies to optical analog edge detectors. Considering the Rayleigh criterion, the derived formula reveals a linear relation between the gain of the spatial filter and the achievable image resolution.…”

Section: Discussionmentioning

confidence: 99%

Meta-optics for spatial optical analog computing

2020

View full text Add to dashboard Cite

Rapidly growing demands for high-performance computing, powerful data processing, and big data necessitate the advent of novel optical devices to perform demanding computing processes effectively. Due to its unprecedented growth in the past two decades, the field of meta-optics offers a viable solution for spatially, spectrally, and/or even temporally sculpting amplitude, phase, polarization, and/or dispersion of optical wavefronts. In this review, we discuss state-of-the-art developments, as well as emerging trends, in computational metastructures as disruptive platforms for spatial optical analog computation. Two fundamental approaches based on general concepts of spatial Fourier transformation and Green’s function (GF) are discussed in detail. Moreover, numerical investigations and experimental demonstrations of computational optical surfaces and metastructures for solving a diverse set of mathematical problems (e.g., integrodifferentiation and convolution equations) necessary for on-demand information processing (e.g., edge detection) are reviewed. Finally, we explore the current challenges and the potential resolutions in computational meta-optics followed by our perspective on future research directions and possible developments in this promising area.

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“…It should be mentioned that dielectric metasurfaces also have some drawbacks-some of them only work for one polarization while the energy of other polarized waves is completely wasted, which may lead to relatively low signal-to-noise ratio. Moreover, determining how to balance the features of numerical aperture, efficiency and spatial resolution requires an elaborate design [157].…”

Section: Discussionmentioning

confidence: 99%

Optical Realization of Wave-Based Analog Computing with Metamaterials

et al. 2020

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Recently, the study of analog optical computing raised renewed interest due to its natural advantages of parallel, high speed and low energy consumption over conventional digital counterpart, particularly in applications of big data and high-throughput image processing. The emergence of metamaterials or metasurfaces in the last decades offered unprecedented opportunities to arbitrarily manipulate the light waves within subwavelength scale. Metamaterials and metasurfaces with freely controlled optical properties have accelerated the progress of wave-based analog computing and are emerging as a practical, easy-integration platform for optical analog computing. In this review, the recent progress of metamaterial-based spatial analog optical computing is briefly reviewed. We first survey the implementation of classical mathematical operations followed by two fundamental approaches (metasurface approach and Green’s function approach). Then, we discuss recent developments based on different physical mechanisms and the classical optical simulating of quantum algorithms are investigated, which may lead to a new way for high-efficiency signal processing by exploiting quantum behaviors. The challenges and future opportunities in the booming research field are discussed.

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Fundamental limit for gain and resolution in analog optical edge detection

Cited by 30 publications

References 17 publications

Meta-optics for spatial optical analog computing

Meta-optics for spatial optical analog computing

Meta-optics for spatial optical analog computing

Optical Realization of Wave-Based Analog Computing with Metamaterials

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