A higher-speed compressive sensing camera through multi-diode design

Herman, Martin; Tidman, James; Hewitt, Donna; Weston, Tyler; McMackin, Lenore

doi:10.1117/12.2015745

Cited by 25 publications

(15 citation statements)

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“…Minimizing the number of samples or linear measurements we have to collect in the first place is the purpose of CS. Efficient image recording procedures have emerged in this context [4][5][6][7][8][9][10][11][12] at the expense of an increase in computational complexity because the sparse signals are ideally the unique solutions of convex optimization problems that are solved using iterative algorithms.…”

Section: Introductionmentioning

confidence: 99%

Studies on the sparsifying operator in compressive digital holography

et al. 2017

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In compressive digital holography, we reconstruct sparse object wavefields from undersampled holograms by solving an ℓ-minimization problem. Applying wavelet transformations to the object wavefields produces the necessary sparse representations, but prior work clings to transformations with too few vanishing moments. We put several wavelet transformations belonging to different wavelet families to the test by evaluating their sparsifying properties, the number of hologram samples that are required to reconstruct the sparse wavefields perfectly, and the robustness of the reconstructions to additive noise and sparsity defects. In particular, we recommend the CDF 9/7 and 17/11 wavelet transformations, as well as their reverse counter-parts, because they yield sufficiently sparse representations for most accustomed wavefields in combination with robust reconstructions. These and other recommendations are procured from simulations and are validated using biased, noisy holograms.

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Section: Introductionmentioning

confidence: 99%

Studies on the sparsifying operator in compressive digital holography

et al. 2017

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“…Furthermore, the problems to be solved by the convex optimization are ill-posed, therefore the solutions could be non-deterministic [20]. Other works aiming to increase the frame rate, including using a quadrant detector [21] or multi-diode design [22], are still limited by the modulation rate of the SLM.…”

Section: Introductionmentioning

confidence: 99%

1000 fps computational ghost imaging using LED-based structured illumination

Xu¹,

Chen²,

Penuelas³

et al. 2018

Opt. Express

195

103

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Single-pixel imaging uses a single-pixel detector, rather than a focal plane detector array, to image a scene. It provides advantages for applications such as multi-wavelength, three-dimensional imaging. However, low frame rates have been a major obstacle inhibiting the use of computational ghost imaging technique in wider applications since its invention one decade ago. To address this problem, a computational ghost imaging scheme, which utilizes an LED-based, high-speed illumination module is presented in this work. At 32 × 32 pixel resolution, the proof-of-principle system achieved continuous imaging with 1000 fps frame rate, approximately two orders larger than those of other existing ghost imaging systems. The proposed scheme provides a cost-effective and high-speed imaging technique for dynamic imaging applications.

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“…For FPA CI, the gray values of all pixels in the reconstructed high-resolution image are computed from the low-resolution MWIR images. A FPA CI system can be viewed as an array of SPCs [28][29][30], thus the system model can be expressed in a matrix notation as…”

Section: Introductionmentioning

confidence: 99%

DMD Mask Construction to Suppress Blocky Structural Artifacts for Medium Wave Infrared Focal Plane Array-Based Compressive Imaging

Wang

2020

Sensors

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With medium wave infrared (MWIR) focal plane array-based (FPA) compressive imaging (CI), high-resolution images can be obtained with a low-resolution MWIR sensor. However, restricted by the size of digital micro-mirror devices (DMD), aperture interference is inevitable. According to the system model of FPA CI, aperture interference aggravates the blocky structural artifacts (BSA) in the reconstructed images, which reduces the image quality. In this paper, we propose a novel DMD mask design strategy, which can effectively suppress BSA and maximize the reconstruction efficiency. Compared with random binary codes, the storage space and computation cost can be significantly reduced. Based on the actual MWIR FPA CI system, we demonstrate the proposed DMD masks can effectively suppress the BSA in the reconstructed images. In addition, a new evaluation index, blocky root mean square error, is proposed to indicate the BSA in FPA CI.

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A higher-speed compressive sensing camera through multi-diode design

Cited by 25 publications

References 0 publications

Studies on the sparsifying operator in compressive digital holography

Studies on the sparsifying operator in compressive digital holography

1000 fps computational ghost imaging using LED-based structured illumination

DMD Mask Construction to Suppress Blocky Structural Artifacts for Medium Wave Infrared Focal Plane Array-Based Compressive Imaging

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