Single-pixel 3D reconstruction via a high-speed LED array

Wang, Ming; Sun, Mingjie; Huang, Chao

doi:10.1088/2515-7647/ab83e5

Cited by 12 publications

(8 citation statements)

References 28 publications

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“…Single-pixel imaging, being a typical computational imaging method, forms an image by sampling the scene with varying structured illuminations, and associating the illumination patterns with the corresponding light intensities recorded with a single-pixel detector. This imaging strategy provides advantages for imaging in situations that are challenging with a detector array, such as special spectrum imaging [34,35], adaptive imaging [36][37][38], optical phased array imaging [39] and 3D profiling [40][41][42][43].…”

Section: Resultsmentioning

confidence: 99%

Bionic Birdlike Imaging Using a Multi-Hyperuniform LED Array

Zhao

Cao

et al. 2021

Sensors

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Digital cameras obtain color information of the scene using a chromatic filter, usually a Bayer filter, overlaid on a pixelated detector. However, the periodic arrangement of both the filter array and the detector array introduces frequency aliasing in sampling and color misregistration during demosaicking process which causes degradation of image quality. Inspired by the biological structure of the avian retinas, we developed a chromatic LED array which has a geometric arrangement of multi-hyperuniformity, which exhibits an irregularity on small-length scales but a quasi-uniformity on large scales, to suppress frequency aliasing and color misregistration in full color image retrieval. Experiments were performed with a single-pixel imaging system using the multi-hyperuniform chromatic LED array to provide structured illumination, and 208 fps frame rate was achieved at 32 × 32 pixel resolution. By comparing the experimental results with the images captured with a conventional digital camera, it has been demonstrated that the proposed imaging system forms images with less chromatic moiré patterns and color misregistration artifacts. The concept proposed verified here could provide insights for the design and the manufacturing of future bionic imaging sensors.

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Section: Resultsmentioning

confidence: 99%

Bionic Birdlike Imaging Using a Multi-Hyperuniform LED Array

Zhao

Cao

et al. 2021

Sensors

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“…This is not a lot, as many thousand exposures are needed per single image measurement. Far higher frame-rates are achievable with structured illumination with LEDs arrays, although such set-ups for ghost imaging and SPI have been demonstrated only at low resolutions [9][10][11][12]. Modulation with rotary elements with fixed patterns is a high-speed cost-efficient alternative to using dynamic modulators in THz [13,14].…”

Section: Introductionmentioning

confidence: 99%

Differential real-time single-pixel imaging with Fourier domain regularization -- applications to VIS-IR imaging and polarization imaging

Pastuszczak,

Stojek,

Wróbel

et al. 2022

Preprint

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The speed and quality of single-pixel imaging (SPI) are fundamentally limited by image modulation frequency and by the levels of optical noise and compression noise. In an approach to come close to these limits, we introduce a SPI technique, which is inherently differential, and comprises a novel way of measuring the zeroth spatial frequency of images and makes use of varied thresholding of sampling patterns. With the proposed sampling, the entropy of the detection signal is increased in comparison to standard SPI protocols. Image reconstruction is obtained with a single matrix-vector product so the cost of the reconstruction method scales proportionally with the number of measured samples. A differential operator is included in the reconstruction and following the method is based on finding the generalized inversion of the modified measurement matrix with regularization in the Fourier domain. We demonstrate 256×256 SPI at up to 17 Hz at visible and near-infrared wavelength ranges using two polarization or spectral channels. A low bit-resolution data acquisition device with alternatingcurrent-coupling can be used in the measurement indicating that the proposed method combines improved noise robustness with a differential removal of the direct current component of the signal.

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“…There exist alternatives to the DMD technology, which we will not consider in this paper. Far higher frame-rates are possible with structured illumination with LEDs arrays, although such setups for ghost imaging and SPI have been demonstrated only at low resolutions [10][11][12][13]. Modulation with rotary elements with fixed patterns is a high-speed cost-efficient alternative to using dynamic modulators in THz [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Single pixel imaging at high pixel resolutions

Stojek,

Pastuszczak,

Wróbel

et al. 2022

Preprint

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The usually reported pixel resolution of single pixel imaging (SPI) varies between 32 × 32 and 256 × 256 pixels falling far below imaging standards with classical methods. Low resolution results from the trade-off between the acceptable compression ratio, the limited DMD modulation frequency, and reasonable reconstruction time, and has not improved significantly during the decade of intensive research on SPI. In this paper we show that image measurement at the full resolution of the DMD, which lasts only a fraction of a second, is possible for sparse images or in a situation when the field of view is limited but is a priori unknown. We propose the sampling and reconstruction strategies that enable us to reconstruct sparse images at the resolution of 1024 × 768 within the time of 0.3s. Non-sparse images are reconstructed with less details. The compression ratio is on the order of 0.4% which corresponds to an acquisition frequency of 7Hz. Sampling is differential, binary, and non-adaptive, and includes information on multiple partitioning of the image which later allows us to determine the actual field of view. Reconstruction is based on the differential Fourier domain regularized inversion (D-FDRI). The proposed SPI framework is an alternative to both adaptive SPI, which is challenging to implement in real time, and to classical compressive sensing image recovery methods, which are very slow at high resolutions.

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Single-pixel 3D reconstruction via a high-speed LED array

Cited by 12 publications

References 28 publications

Bionic Birdlike Imaging Using a Multi-Hyperuniform LED Array

Bionic Birdlike Imaging Using a Multi-Hyperuniform LED Array

Differential real-time single-pixel imaging with Fourier domain regularization -- applications to VIS-IR imaging and polarization imaging

Single pixel imaging at high pixel resolutions

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