Spectral imaging based on 2D diffraction patterns and a regularization model

Nimmer, Max; Steidl, Gabriele; Riesenberg, Rainer; Wuttig, Andreas

doi:10.1364/oe.26.028335

Cited by 9 publications

(5 citation statements)

References 11 publications

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“…Most of these techniques focus on compressive or snapshot imaging, enabling to reconstruct the entire spectral cube from a few multiplexed measurements. For this purpose, various system architectures have been proposed using different dispersive elements (exhibiting wavelength-dependent behavior) like prisms/gratings [5,6], diffusers [7], and diffractive lenses [8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Computational Spectral Imaging With Diffractive Lenses And Spectral Filter Arrays

Gundogan

Oktem

2021

2021 IEEE International Conference on Image Processing (ICIP)

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Computational spectral imaging aims to reconstruct the entire 3D spectral cube from a few compressive measurements. Recently different spectral imaging modalities have been developed by exploiting the wavelength-dependent behavior of diffractive lenses. Another line of development in this area is provided by spectral filter arrays which has enabled multispectral sensors. In this work, we develop a new compressive spectral imaging modality by exploiting a diffractive lens with a multi-spectral sensor. To reconstruct the spectral cube from these compressive measurements, a model-based fast sparse recovery algorithm is also developed. The performance of the proposed technique is illustrated for the visible range using different spectral filter array configurations and number of measurements. The results demonstrate that significant performance improvement can be achieved over a recent imaging technique with diffractive lenses, while also enabling snapshot imaging with simpler and more compact designs.

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Section: Introductionmentioning

confidence: 99%

Computational Spectral Imaging With Diffractive Lenses And Spectral Filter Arrays

Gundogan

Oktem

2021

2021 IEEE International Conference on Image Processing (ICIP)

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“…In contrast to these approaches, our approach exploits chromatic aberration to perform multispectral imaging. Other works that take advantage of chromatic aberration include snapshot multispectral imaging techniques involving a diffractive filter in close proximity to an image sensor [43], a diffractive optical array after a pinhole array [44], and a Fresnel zone plate with a light-field detector [45]. These imaging modalities also rely on simple reconstruction methods such as Tikhonov regularization.…”

Section: Introductionmentioning

confidence: 99%

High-resolution Multi-spectral Imaging with Diffractive Lenses and Learned Reconstruction

Oktem,

Kar,

Bezek

et al. 2020

Preprint

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Spectral imaging is a fundamental diagnostic technique with widespread application. Existing spectral imaging approaches have intrinsic limitations on spatial and spectral resolutions due to the physical components they rely on. To overcome these physical limitations, in this paper, we develop a novel multi-spectral imaging modality that enables higher spatial and spectral resolutions. In the developed computational imaging modality, we exploit a diffractive lens, such as a photon sieve, for both dispersing and focusing the optical field, and achieve measurement diversity by changing the focusing behavior of this lens. Because the focal length of a diffractive lens is wavelength-dependent, each measurement is a superposition of differently blurred spectral components. To reconstruct the individual spectral images from these superimposed and blurred measurements, a fast reconstruction algorithm is developed with analysis priors using the alternating direction method of multipliers. Finally, the effectiveness and performance of the developed technique is illustrated for an application in astrophysical imaging under various observation scenarios in the extreme ultraviolet (EUV) regime. The results demonstrate that the technique provides not only diffraction-limited high spatial resolution, as enabled by diffractive lenses, but also the capability of resolving close-by spectral sources that would not otherwise be possible with the existing techniques. This work enables high resolution multi-spectral imaging with low cost designs for a variety of applications and spectral regimes.

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“…At the same time, Gehm et al [16,17] developed the coded aperture snapshot spectral imager (CASSI). Compressive sensing has been applied to the iterative reconstruction process by many scholars based on the combination of an intermediate image plane and a coded aperture (which can be a binary mask [18][19][20][21][22], a spatial-light modulator [23][24][25], a digital micromirror device [26,27], or otherwise [28][29][30][31]). Comparison of this imager with the present multi-aperture and coded aperture snapshot spectral imaging systems leads to the following inferences: (1) owing to the structural characteristics of the multi-aperture snapshot spectral imaging system itself, there is always a mutually constrained relationship between the spectral and spatial resolutions, and the two cannot achieve the optimal value at the same time.…”

Section: Introductionmentioning

confidence: 99%

Optimization modulation method for 3D spectral data cube using linear encoding of intrinsic chromatic aberration

Zhao¹,

Li²,

Liu³

et al. 2020

J. Opt.

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We develop herein a new optimization modulation method for the three-dimensional (3D) spectral data cube (SDC) based on the use of a linear encoding scheme of the intrinsic chromatic aberration, especially for snapshot multispectral or hyperspectral imaging systems. A mathematical model of the linear chromatic aberration modulation is established that provides theoretical guidelines on the optimal design of 3D SDC for snapshot spectral imaging systems. Spectral simulations and experiments of an optical system are conducted and are shown to match closely, thus demonstrating that the proposed linear encoding scheme can be used as a valid modulation method for 3D SDC. The feasibility of the proposed method for snapshot spectral imaging is verified by the spectral imaging experiments of a polychromatic slit with five wavelengths of 470 nm, 516 nm, 550 nm, 570 nm, 610 nm. The results of the recovered images also confirm that the mutual restriction of spectral and spatial resolutions is addressed. Overall, it is expected for the proposed modulation method for 3D SDC to create new possibilities for high-resolution, compact spectral imaging system with low-cost.

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Spectral imaging based on 2D diffraction patterns and a regularization model

Cited by 9 publications

References 11 publications

Computational Spectral Imaging With Diffractive Lenses And Spectral Filter Arrays

Computational Spectral Imaging With Diffractive Lenses And Spectral Filter Arrays

High-resolution Multi-spectral Imaging with Diffractive Lenses and Learned Reconstruction

Optimization modulation method for 3D spectral data cube using linear encoding of intrinsic chromatic aberration

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